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Service Specific Terms | DatabricksPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWLegalTermsDatabricks Master Cloud Services AgreementAdvisory ServicesTraining ServicesUS Public Sector ServicesExternal User TermsWebsite Terms of UseCommunity Edition Terms of ServiceAcceptable Use PolicyPrivacyPrivacy NoticeCookie NoticeApplicant Privacy NoticeDatabricks SubprocessorsPrivacy FAQsDatabricks Data Processing AddendumAmendment to Data Processing AddendumSecurityDatabricks SecuritySecurity AddendumLegal Compliance and EthicsLegal Compliance & EthicsCode of ConductThird Party Code of ConductModern Slavery StatementFrance Pay Equity ReportSubscribe to UpdatesService Specific TermsThe following Service Specific Terms apply to the specific Databricks Services indicated below. In the event of a conflict or inconsistency between the terms of these Service Specific Terms and the terms of the Databricks Master Cloud Services Agreement or other agreement with us governing your use of the Databricks Services (the “Agreement”) the terms and conditions of these Service Specific Terms apply except as noted in Section 1.4 below. Capitalized terms used herein but not defined herein shall have the meanings set forth in the Agreement (or if not therein defined, shall refer to the term in such Agreement that is closest in meaning to such term).You may sign up to receive updates of these Service Specific Terms here.Universal Terms (applicable to all Databricks Services).Your use of the Platform Services must at all times comply with the Acceptable Use Policy.You must comply with the current Documentation as posted by us and updated by us from time to time on https://www.databricks.com/documentation (or such other website as we provide).If you process the personal data of Authorized End Users or other identifiable individuals in your use of a Databricks Service, you are responsible for providing legally adequate privacy notices and obtaining necessary consents for the processing of such data. You represent to us that you have provided all necessary privacy notices and obtained all necessary consents. You are responsible for processing such data in accordance with applicable law.Your use of any Databricks Service described below is subject to these Service Specific Terms notwithstanding anything to the contrary in an Agreement, provided that if your Agreement already contains terms that specifically cover the indicated features below (such terms, “Overriding Terms”) (e.g., you entered into the Databricks Master Cloud Services Agreement at https://www.databricks.com/legal/mcsa from 28 March 2022 onwards), the terms in your Agreement will apply and the terms for that specific feature will be considered superseded by your Agreement; if your Agreement limits the applicability of these Service Specific Terms, you are not authorized to enable or access a Databricks Service covered by these Service Specific Terms unless such feature is covered by Overriding Terms.You may perform benchmarks or comparative tests or evaluations (each, a “Benchmark”) of the Platform Services and may disclose the results of the Benchmark other than for Beta Services. If you perform or disclose, or direct or permit any third party to perform or disclose, any Benchmark of any of the Platform Services, you (i) will include in any disclosure, and will disclose to us, all information necessary to replicate such Benchmark, and (ii) agree that we may perform and disclose the results of Benchmarks of your products or services, irrespective of any restrictions on Benchmarks in the terms governing your products or services.Databricks may update these terms from time to time. Updates of these terms shall be deemed effective: (a) for new products and services, upon posting of the updated terms here; and (b) for updates to these terms that were previously posted (i) for Monthly PAYG Service customers (i.e., customers who are not on committed usage contracts), 30 days after such update is made to these Service Specific Terms and notified as described herein or (ii) for all other customers, upon renewal of the applicable Order Form. Databricks will provide notice to anyone who has subscribed to receive an update to these terms as indicated in the introduction above and may additionally provide notice to administrative users of the Platform Services.Definitions (applicable to all Platform Services).“Cloud Environment” of a party means the cloud or other compute or storage infrastructure controlled by such party and utilized under the Agreement.“Compute Plane” means the portion of the applicable Cloud Environment where compute resources of the Platform Services are deployed during use of the Platform Services for the primary processing of Customer Data. In the case of Serverless Compute, the Compute Plane is within the Databricks Cloud Environment (the “Databricks Compute Plane”). In all other cases, the Compute Plane is within the Customer Cloud Environment (the “Customer Compute Plane”), and in such cases the processing activity results in fees being charged directly to Customer by the Cloud Service Provider. For the avoidance of doubt, none of the terms “Compute Plane”, “Customer Compute Plane” or “Databricks Compute Plane” include Customer’s cloud storage. In certain Databricks agreements and Documentation, the Compute Plane may be interchangeably referred to as the “Data Plane”.“Databricks Control Plane” means the elements of the Platform Services residing within the Databricks Cloud Environment, other than the Databricks Compute Plane, including without limitation the user interface of the Platform Services."Serverless Compute” means a Platform Service where the Compute Plane is located in Databricks’ Cloud Environment rather than in Customer’s Cloud Environment.Platform Services - General.Deployment and Responsibilities. Generally. Customer acknowledges that the Platform Services are implemented in a manner that divides the Platform Services between the Customer Cloud Environment and the Databricks Cloud Environment, and that accordingly each party must undertake certain technical and organizational measures in order to protect the Platform Services and the Customer Content. Without limiting the foregoing, Customer acknowledges and agrees that (1) in order to utilize the current Platform Services other than Serverless Compute, Customer must have an account with the Cloud Service Provider; (2) Databricks does not host the Customer Cloud Environment into which certain parts of the Platform Services may be deployed or the Systems in which your Customer Data may be stored (e.g., an AWS S3 bucket); (3) while certain Customer Data may in some cases be present within the Databricks Cloud Environment of the Platform Services (e.g., within the Customer Results), Databricks’ current Platform Services are not designed to archive or permanently retain Customer Data (e.g., they are intended to provide an environment to facilitate Customer’s processing of Customer Data by permitting Customer to execute Customer Instructional Input and view Customer Results); and (4) Databricks’ current Platform Services do not provide backup services or disaster recovery to enable recovery of Customer Data. Accordingly, and without limiting the foregoing, Databricks is not responsible for any loss, destruction, alteration, or corruption of Customer Content, except to the extent caused by the gross negligence or willful misconduct of Databricks.Your Responsibilities. You acknowledge and agree that you are responsible for (1) protecting the security of all your credentials used to access the Platform Services (with Databricks also responsible for taking adequate steps to protect Customer credentials to the extent such credentials are within the control of Databricks); (2) securing the Customer Cloud Environment and any Customer System (with such steps to include without limitation the regular rotation of access keys and other industry standard steps to preclude unauthorized access); (3) backing up Customer Instructional Input (e.g., via Github or other third party System); (4) backing up and securing Customer Data under Customer’s control within the Customer Cloud Environment or other Customer controlled System (e.g., by turning on versioning and encryption within AWS S3); (5) any security or other issues resulting from any Customer Instructional Input; and (6) managing and paying the charges associated with your usage of the Customer Cloud Environment (e.g., compute and storage fees); and Customer expressly assumes the risks associated with the foregoing responsibilities set forth in this Section.Databricks Responsibilities. Databricks acknowledges and agrees that, as between the parties and except to the extent caused by the action or intentional or negligent inaction of you or your Authorized Users, including without limitation any customizations or configurations of the Platform Services by you or anything specified to be your responsibility above, Databricks is primarily responsible for: (1) the operation (excluding to the extent such operation is directed by the Customer Instructional Input) of the Databricks Cloud Environment (including the user interface of the Platform Services, the Databricks Compute Plane with respect to Serverless Compute, and the portion of the Platform Services within the Databricks Control Plane in which the Customer Instructional Input and Customer Results are held until deleted by you) and, with respect to Platform Services other than Serverless Compute, the Databricks software that operates the computing resources in the Customer Compute Plane; and (2) implementing reasonable technical and organizational measures designed in accordance with ISO/IEC 27001:2013 or equivalent/greater standard to protect the security of the foregoing. Additionally, while it is your responsibility to back up Customer Instructional Input, Databricks will, at your reasonable request, provide commercially reasonable assistance with recovery efforts where reasonably possible.Platform Services other than Serverless Compute. With respect to your use and Databricks’ provisioning of Platform Services other than Serverless Compute, including without limitation All Purpose Compute, Jobs Compute (including Jobs Light Compute) and SQL Compute using Classic SQL Endpoints, the Compute Plane is deployed within the Customer Cloud Environment. Notwithstanding the foregoing, Databricks may in the future add additional Platform Services that may be subject instead to other Service Specific Terms by indicating in the Databricks release notes at the time of release that such Platform Services are subject to additional Service Specific Terms. Serverless Compute (part of the Platform Services; in Public Preview on Databricks on AWS as of the date of these Service Specific Terms). Databricks Serverless Compute, including without limitation Serverless SQL Endpoints, operates by Databricks deploying the Compute Plane into the Databricks Cloud Environment instead of the Customer Cloud Environment. Accordingly, your use of and/or our provision of Databricks Serverless Compute may conflict with or be inconsistent with certain terms you have previously agreed to with Databricks in an Agreement (including without limitation, the terms relating to your deployment or the respective responsibilities of the parties in the terms of service and/or data processing addendum governing the Platform Services, as well as any security schedule or other terms), particularly as such terms may relate to our security obligations or our rights and responsibilities regarding data processing.Unless expressly permitted in an Order Form, Customer may not use Databricks Serverless Compute to process Cardholder Data or PHI.Downloadable Services. Databricks may make available to you certain Databricks Services as software from time to time in a downloadable manner (“Downloadable Services“). Unless expressly stated otherwise at the time of download or as otherwise agreed by Databricks, Downloadable Services may only be used as a part of the Databricks Services. You are granted a non-exclusive, royalty-free right and license to use and copy during the term of the Agreement the Downloadable Services solely as necessary to enable your use of the Databricks Services.Beta Services.“Beta Service” means any Databricks Service (or feature of a Databricks Service) that is clearly designated as “beta”, “experimental”, “preview” or similar, that is provided prior to general commercial release, and that Databricks at its sole discretion offers to Customer, and Customer at its sole discretion elects to use.If you elect to receive any Beta Services offered by Databricks, you agree that, in addition to adhering to all other restrictions generally applicable to your use of the Platform Services under the Agreement and any requirements set forth by Databricks in writing regarding the particular Beta Services, you will not use such Beta Services for production workloads or for any mission critical work, and that you will not use sensitive data (e.g., PHI or Cardholder Data) in conjunction with such Beta Services unless explicitly permitted in an Order Form. For the avoidance of doubt, information pertaining to the Beta Services constitutes Databricks Confidential Information.BETA SERVICES ARE PROVIDED “AS-IS” AND WITHOUT WARRANTY OF ANY KIND. CUSTOMER BEARS THE RISK OF USING THE BETA SERVICES. DATABRICKS AND ITS SUPPLIERS GIVE NO EXPRESS OR IMPLIED WARRANTIES, GUARANTEES OR CONDITIONS RELATED TO THE BETA SERVICES. TO THE EXTENT PERMITTED UNDER YOUR LOCAL LAWS, DATABRICKS AND ITS SUPPLIERS EXCLUDE THE IMPLIED WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT.Databricks Container Services (part of the Platform Services).As part of the Databricks Container Services, Databricks may provide a sample stub container file (a “Sample Container”) that you may (but are not required to) use to create a custom container file to use with Databricks Container Services (a “Modified Sample Container”). Databricks grants you a limited, non-exclusive right and license to use and modify the Sample Container by inserting your own code into the Sample Container to create a Modified Sample Container. The Sample Container may contain libraries that are subject to open source licenses. It is your obligation to review and comply with any such licenses prior to the creation of the Modified Sample Container.You may not: upload to the Platform Services or otherwise make available for use with Databricks Services a container file (including a Modified Sample Container) (together, a “Custom Container”) or other code that contains any viruses, worms, time bombs, Trojan horses and other harmful or malicious code, files, scripts, agents or programs designed to impede the use of the Databricks Services or any other systems, whether or not connected to the Databricks Services;include in a Custom Container any code for which you do not have the necessary right or license or that contains any code that could subject Databricks Services (including the Databricks Container Services) to any term that seeks to require Databricks to make any Databricks Services code available in source code form or which may impose any other obligation or restriction with respect to Databricks’ intellectual property rights; orattempt to disable or interfere with any technical limitations contained within Databricks Container Services.You grant Databricks a worldwide, non-exclusive royalty free right and license to use, reproduce and make derivative works of the Custom Container solely as necessary to provide Databricks Container Services.Delta Sharing (part of the Platform Services; in Preview on Databricks on AWS as of the date of these Service Specific Terms).Delta Sharing allows a Databricks Authorized User to share data outside of the Authorized User’s Customer organization. Accordingly, Customer’s use of and/or Databricks’ provision of Delta Sharing may conflict with or be inconsistent with certain terms you have previously agreed to with Databricks in an Agreement (including, without limitation, terms relating to your deployment or the respective responsibilities of the parties in the terms of service and/or data processing addendum governing the Platform Services, as well as any security schedule or other terms), particularly as such terms may relate to our security obligations or our rights and responsibilities regarding data processing.Additional Terms Relating to your Deployment. Additional Definitions. The following additional terms apply to any use of Delta Sharing (as defined below). "Data Recipient" means a person who receives Customer Data from a Data Provider through Delta Sharing. A Data Recipient may be another Databricks customer or may be a third party entity that is not a Databricks customer (“Non-Customer Recipient”)."Data Share" means an individual set of Shared Data."Data Provider" means a person who initiates the share of the Customer Data from the Platform Services."Delta Sharing" means the portion of the Databricks Platform Services that enable a Data Provider to share Customer Data with a Data Recipient, as further described in the Documentation."Shared Data" means Customer Data (either Customer’s Customer Data or the Customer Data of another Databricks customer) that is shared via Delta Sharing.Generally. The Platform Services include functionality that lets Customer, at its option and in its sole discretion, provide Data Recipients outside of its Databricks workspace(s) with read-only access to Shared Data or receive Shared Data from other Data Providers.When Customer is the Data Provider. Customer may, at its option and in its sole discretion and subject to the rest of the Agreement, use Delta Sharing to grant one or more Data Recipients read-only access to some or all of its Customer Data via one or more Data Shares. Customer: is solely responsible for ensuring that it is entitled to share any Shared Data with any Recipient and that any such Data Share is in compliance with all applicable laws.acknowledges and agrees that (i) Data Recipients will have ongoing access to the Shared Data with the permissions set by Customer until the applicable Data Share is disabled; (ii) nothing in Delta Sharing prevents a Data Recipient from making a permanent copy of the Shared Data; (iii) Databricks has no control over, and will have no liability for, the acts or omissions of any Data Recipient with respect to the Shared Data; and (iv) Customer remains responsible for all Customer Data in accordance with the Agreement, irrespective of whether Customer or Data Recipient is in control of such data.as between Databricks and Customer, acknowledges and agrees that it is responsible for any fees (including fees charged by a Cloud Service Provider) associated with the access to and use of any Shared Data by a Data Recipient.represents that it has the right to share with Databricks any personal data associated with any Data Recipients that it shares with Databricks.acknowledges and agrees that it is fully responsible for any actions or inactions of a Data Recipient with respect to the Shared Data and will, subject to the conditions of indemnification set forth in the Agreement, but notwithstanding any liability cap or disclaimer or exclusion of damages therein (or otherwise agreed between the parties), defend all Databricks Indemnitees from and against any claims, demands, suits or proceedings made by a third party including without limitation a Data Recipient, and will indemnify each Databricks Indemnitee from and against any damages, attorneys’ fees and costs finally awarded against a Databricks Indemnitee, arising from or related to any Shared Data provided to any Data Recipient through the Delta Sharing. “Databricks Indemnitees”, if no equivalent term is defined in the Agreement, shall mean Databricks and its Affiliates and its and each of their officers, employees, directors, and agents.When Customer is the Data Recipient. By accessing a Data Provider’s Shared Data as a Data Recipient, Customer represents that it has been authorized to access the Data Share(s) provided to it by the Data Provider and acknowledges that (1) Databricks has no liability for such Shared Data or Customer’s use of such Shared Data, and (2) Databricks may collect information about Customer’s use of and access to the Shared Data (including identifying Customer and any individual who accesses the Shared Data using the credential file in connection with such information) and may share it with the applicable Data Provider.Restrictions on Shared Data; Suspension. Unless set forth in an Order Form, Customer may not include any PHI (as defined by the Health Insurance Portability and Accountability Act) or Cardholder Data (as defined by PCI-DSS) in any Shared Data. Customer acknowledges and agrees that Databricks may, but is not required to, disable a given Data Share or Customer’s use of the Delta Sharing or access to a Data Share if Databricks reasonably suspects or becomes aware of a claim that a Data Share may violate applicable law or may harm Databricks, Customer, Recipient or other third party.Last Updated March 28, 2022. For earlier versions, please send a request to [email protected] (with “Service Specific Terms Request” in the subject).ProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. 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Databricks University Alliance for Aspiring Data Scientists | DatabricksSkip to main contentPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWUniversity AllianceResources and materials for educators, students and aspiring data scientists who want to build with DatabricksJoin as an educatorI'm a studentAt Databricks, we believe that university students should learn the latest data science tools to enhance their value in the workforce upon graduation. The Databricks University Alliance provides complimentary assets to educators and students for teaching and learning these next-generation tools in both in-person and virtual classrooms.All approved educators and faculty receive:Access to the online community of educators using Databricks in the classroomA curated list of resources for educators getting started with Databricks, including slides and workshops on topics like Delta Lake and Apache Spark™Sample notebooks to jump-start the learning experience for Delta Lake, MLflow and moreBrowse notebooksSelect classes needing high-scale computing resources may request free Databricks credits and cloud credits for courses powered by AWS and Azure (limited availability)Interested in teaching Databricks?If you’re an educator or faculty member at a university, you are invited to join the Databricks University Alliance.Join now“Having access to industry-leading tools and programs provided by Databricks, a company that continues to drive innovation across the data science and machine learning community, is very exciting for our professors, students and university.”— Kyle Hamilton, professor and coordinator of the Machine Learning at Scale course at UC BerkeleyAre you a student or aspiring data scientist?You don’t need to wait to start learning Databricks. Check out the resources available to you right now.Learning seriesHands-on workshopsThis self-paced online workshop series is for anyone and everyone interested in learning about data analysis. No previous programming experience required.Learn moreDatabricks accountSign up for the Databricks Community EditionSign up for a free Databricks account to follow along with tutorials and experiment with data.Sign up freeDatabricks AcademyAccess free self-paced courses on DatabricksIf you’re a student with a university-provided email address, you can access courses on Databricks Academy free.See detailsOur cloud partners ProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. 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Cody Ferguson - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingCody FergusonData & AI Management Branch Chief at Chief Digital and Artificial Intelligence Office - AdvanaBack to speakersCody is a proven leader in the data and analytics domain with experience in managing large technical teams on implementation of features that increase the ability for DoD to better utilize data to manage business and gain better insights for informed decision-making. Cody currently serves as the Data Operations Director for Advana, DoD's enterprise data and analytics platform within the Office of the Chief Digital and Artificial Intelligence Officer (OCDAO). In this role, he is responsible for large-scale data acquisition efforts through federation and integration of over 300 data sources, automation of data ingestion and governance processes to decrease overall time-to-insight for DoD analysts and data scientists, and scalable solutions for data architecture and management of all data assets on the Advana platform. Cody has 8 years of DoD experience which include assisting in the creation of executive analytics to enhance and inform senior leader decision-making in coordination with the Immediate Office of the Deputy Secretary of Defense, and leading the creation of budget analytics metrics that allow the Department to effectively utilize resources and align requirements to financial execution and outcomes. Prior to working in OSD, Cody was a Financial Management Trainee in the OPM Pathways program and a Financial Analyst, where he spent 5 years working in various positions within the Department of the Navy. Cody obtained a M.S. in Forensic Accounting from American University and received a B.S. in Business Administration from High Point UniversityLooking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.

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Partner Solutions - DatabricksSkip to main contentPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWPartner SolutionsPartner-developed industry and migration solutions for the lakehouseWe have partnered with leading consulting partners to build innovative solutions for industry and migration use cases. Databricks Brickbuilder Solutions are expertly designed by our partners to help you cut costs and increase value from your data. Backed by their years of industry experience — and built for the Databricks Lakehouse Platform — you can be confident that you get solutions that are tailored for your business.Search available partnerssearchPublic SectorCloud Data Migration by Accenture - DatabricksLearn moreRetail and Consumer GoodsUnified View of Demand by AccentureLearn moreAdvertising and Marketing TechnologyCPG Control Tower by AvanadeLearn moreAdvertising and Marketing TechnologyIntelligent Healthcare on Azure Databricks by AvanadeLearn moreAdvertising and Marketing TechnologyIntelligent ManufacturingLearn moreAdvertising and Marketing TechnologyLegacy System Migration by AvanadeLearn moreAdvertising and Marketing TechnologyRisk Management by AvanadeLearn moreTechnology and SoftwareMigrate Legacy Cards and Core Banking Portfolios by Capgemini and DatabricksLearn moreTechnology and SoftwareMigrate to Cloud and Databricks by Capgemini and DatabricksLearn moreTechnology and SoftwareCapgemini Revenue Growth ManagementLearn moreTechnology and SoftwareMigrate to Databricks by Celebal Technologies and DatabricksLearn moreTechnology and SoftwareCognizant Video Quality of ExperienceLearn moreAdvertising and Marketing TechnologyPersona 360 by DataSentics and DatabricksLearn moreAdvertising and Marketing TechnologySAP Migration Accelerator by DataSentics - DatabricksLearn moreAdvertising and Marketing TechnologyPrecisionView™ by DeloitteLearn moreAdvertising and Marketing TechnologyTrellis by DeloitteLearn moreAdvertising and Marketing TechnologySmart Migration to Databricks by EPAMLearn moreAdvertising and Marketing TechnologyLeapLogic Migration Solution by ImpetusLearn moreLoad MoreReady to get started?Try Databricks for freeProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Privacy Notice|Terms of Use|Your Privacy Choices|Your California Privacy Rights

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Detect Toxic Gamer Behavior in Real Time | DatabricksPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWSolution AcceleratorToxicity Detection for GamingPre-built code, sample data and step-by-step instructions ready to go in a Databricks notebookGet startedFoster healthier gaming communities with real-time detection of toxic languageThis Solution Accelerator walks you through the steps required to detect toxic comments in real time to improve the user experience and foster healthier gaming communities. Build a lakehouse for all your gamer data and use natural language processing techniques to flag questionable comments for moderation.Enable real-time detection of toxic comments within in-game chatEasily integrate into existing community moderation processesSeamlessly add new sources of gamer data (e.g., streams, files or voice data)Download notebookResourcesCase studyLearn moreExplainer videoWatch nowBlogLearn moreDeliver innovation faster with Solution Accelerators for popular data and AI use cases across industries. See our full library of solutionsReady to get started?Try Databricks for freeProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Privacy Notice|Terms of Use|Your Privacy Choices|Your California Privacy Rights

https://www.databricks.com/br/documentation

Databricks documentation | Databricks on AWS Support Feedback Try Databricks Help Center Documentation Knowledge Base Amazon Web Services Microsoft Azure Google Cloud Platform Databricks on AWS Get started Get started What is Databricks? Tutorials and best practices Release notes Load & manage data Load data Explore data Prepare data Share data (Delta sharing) Data Marketplace Work with data Data engineering Machine learning Data warehousing Delta Lake Developer tools Technology partners Administration Account and workspace administration Security and compliance Data governance Lakehouse architecture Reference & resources Reference Resources What’s coming? Documentation archive Updated May 10, 2023 Send us feedback Documentation Databricks documentation Databricks documentation Databricks documentation provides how-to guidance and reference information for data analysts, data scientists, and data engineers working in the Databricks Data Science & Engineering, Databricks Machine Learning, and Databricks SQL environments. The Databricks Lakehouse Platform enables data teams to collaborate. Try Databricks Get a free trial & set up Query data from a notebook Build a basic ETL pipeline Build a simple Lakehouse analytics pipeline Free training What do you want to do? Data science & engineering Machine learning SQL queries & visualizations Manage Databricks Account & workspace administration Security & compliance Data governance Reference Guides API reference SQL language reference Error messages Resources Release notes Other resources © Databricks 2023. All rights reserved. Apache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. Send us feedback | Privacy Policy | Terms of Use

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ご相談・お問い合わせ | DatabricksSkip to main contentプラットフォームデータブリックスのレイクハウスプラットフォームDelta Lakeデータガバナンスデータエンジニアリングデータストリーミングデータウェアハウスデータ共有機械学習データサイエンス料金Marketplaceオープンソーステクノロジーセキュリティ＆トラストセンターウェビナー 5 月 18 日午前 8 時 PT さようなら、データウェアハウス。こんにちは、レイクハウス。 データレイクハウスが最新のデータスタックにどのように適合するかを理解するために出席してください。 今すぐ登録ソリューション業種別のソリューション金融サービス医療・ライフサイエンス製造通信、メディア・エンターテイメント公共機関小売・消費財全ての業界を見るユースケース別ソリューションソリューションアクセラレータプロフェッショナルサービスデジタルネイティブビジネスデータプラットフォームの移行5月9日 |午前8時(太平洋標準時)   製造業のためのレイクハウスを発見する コーニングが、手作業による検査を最小限に抑え、輸送コストを削減し、顧客満足度を高める重要な意思決定をどのように行っているかをご覧ください。今すぐ登録学習ドキュメントトレーニング・認定デモ関連リソースオンラインコミュニティ大学との連携イベントDATA+AI サミットブログラボBeacons2023年6月26日～29日 直接参加するか、基調講演のライブストリームに参加してくださいご登録導入事例パートナークラウドパートナーAWSAzureGoogle CloudPartner Connect技術・データパートナー技術パートナープログラムデータパートナープログラムBuilt on Databricks Partner ProgramSI コンサルティングパートナーC&SI パートナーパートナーソリューションDatabricks 認定のパートナーソリューションをご利用いただけます。詳しく見る会社情報採用情報経営陣取締役会Databricks ブログニュースルームDatabricks Ventures受賞歴と業界評価ご相談・お問い合わせDatabricks は、ガートナーのマジック・クアドラントで 2 年連続でリーダーに位置付けられています。レポートをダウンロードDatabricks 無料トライアルデモを見るご相談・お問い合わせログインJUNE 26-29REGISTER NOWご相談・お問い合わせDatabricks 日本法人では、お電話またはメールによるお問い合わせを承っております。データブリックス・ジャパン株式会社電話： 03-6821-1670メール： [email protected] 住所：〒106-0032 東京都港区六本木 1-4-5 アークヒルズサウスタワー 16F 下記のリンクもご利用ください。ドキュメントDatabricks と AWS、Azure、Google Cloud との連携をはじめとする技術ドキュメントへのアクセスDatabricks コミュニティDatabricks のユーザーやエキスパートとのディスカッション、共有、ネットワーキングのためのオンラインコミュニティトレーニングDatabricks レイクハウスプラットフォームを最大限活用するためのプログラム、認定デベロッパー資格を目指す方向けのプログラムなど、充実した内容のプログラムをご用意サポートDatabricks をご利用のお客様における技術面でのご相談、お支払いに関するご質問をお手伝い   ※日本在住のお客様は、本ページ上部に記載のデータブリックス日本法人までご連絡ください。グローバル拠点の所在地Databricks の各拠点の住所はこちらからナレッジベースDatabricks の製品やサービスについての FAQ製品プラットフォーム料金オープンソーステクノロジーDatabricks 無料トライアルデモ製品プラットフォーム料金オープンソーステクノロジーDatabricks 無料トライアルデモ学習・サポートドキュメント用語集トレーニング・認定ヘルプセンター法務オンラインコミュニティ学習・サポートドキュメント用語集トレーニング・認定ヘルプセンター法務オンラインコミュニティソリューション業種別プロフェッショナルサービスソリューション業種別プロフェッショナルサービス会社情報会社概要採用情報ダイバーシティ＆インクルージョンDatabricks ブログご相談・お問い合わせ会社情報会社概要採用情報ダイバーシティ＆インクルージョンDatabricks ブログご相談・お問い合わせ採用情報言語地域English (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.プライバシー通知|利用規約|プライバシー設定|カリフォルニア州のプライバシー権利

https://www.databricks.com//legal/databricks-subprocessors

Databricks Subprocessors | DatabricksPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWLegalTermsDatabricks Master Cloud Services AgreementAdvisory ServicesTraining ServicesUS Public Sector ServicesExternal User TermsWebsite Terms of UseCommunity Edition Terms of ServiceAcceptable Use PolicyPrivacyPrivacy NoticeCookie NoticeApplicant Privacy NoticeDatabricks SubprocessorsPrivacy FAQsDatabricks Data Processing AddendumAmendment to Data Processing AddendumSecurityDatabricks SecuritySecurity AddendumLegal Compliance and EthicsLegal Compliance & EthicsCode of ConductThird Party Code of ConductModern Slavery StatementFrance Pay Equity ReportSubscribe to UpdatesDatabricks SubprocessorsDatabricks engages certain subprocessors in connection with providing the Platform Services or Support Services. A subprocessor is a Databricks affiliate (“Databricks Affiliate'') or a third-party engaged by Databricks, Inc. or a Databricks Affiliate to process personal data on behalf of Databricks’ customers. Capitalized terms used herein have the same meaning as defined in the Master Cloud Services Agreement or other written agreement you have with Databricks (“Agreement”).Subscribe to be notified when we add new Subprocessors.Third-party SubprocessorsEntity NamePurposeEntity CountryAmazon Web Services, Inc.Cloud Service ProviderUnited StatesAmazon Data Services Ireland LtdCloud Service ProviderIrelandGoogle LLCCloud Service ProviderUnited StatesMicrosoft CorporationCloud Service ProviderUnited StatesIntercom R&D Unlimited CompanyProvide a platform for Databricks to send messages to our customers.IrelandOktaGenerate OAuth tokens (if customer does not choose to provide their own) to connect with customer-selected third parties.United StatesTwilio Inc.Provide customer communications, including in-product messaging and email.United StatesAtlassian Pty Ltd.Customer support and ticket handling.AustraliaMicrosoft CorporationCustomer support (in Microsoft Teams).United Statessalesforce.com, inc.Customer support ticketing.United StatesSlack Technologies, Inc.Customer support.United StatesSupportLogic, Inc.Monitor quality of service in responding to support tickets.United StatesDatabricks AffiliatesThe following entities are members of the Databricks Group. Accordingly, they may function as Subprocessors to provide the Databricks Services.Entity NameEntity CountryDatabricks Federal LLCUnited StatesDatabricks B.V.The NetherlandsDatabricks U.K. LimitedUnited KingdomDatabricks Australia Pty LtdAustraliaDatabricks SARLFranceDatabricks GmBHGermanyDatabricks Asiapac Unified Analytics Pte. Ltd.SingaporeDatabricks Japan K.K.JapanDatabricks India Private LimitedIndiaDatabricks Canada ULCCanadaDatabricks Italy S.r.l.ItalyDatabricks Sweden ABSwedenDatabricks Switzerland GmbHSwitzerlandDatabricks Spain S.L.SpainDatabricks Korea LLCSouth KoreaDatabricks New Zealand LimitedNew ZealandDatabricks Costa Rica SRLCosta Rica Last Modified: March 31, 2023ProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Privacy Notice|Terms of Use|Your Privacy Choices|Your California Privacy Rights

https://www.databricks.com/product/feature-store?itm_data=product-link-featureStore

Databricks Feature Store | DatabricksSkip to main contentPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWFeature StoreThe first feature store co-designed with a data platform and MLOps frameworkTry for freeSchedule a demoProvide data teams with the ability to create new features, explore and reuse existing ones, publish features to low-latency online stores, build training data sets and retrieve feature values for batch inference.Features as reusable assetsFeature Registry provides a searchable record of all features, their associated definition, source data, and their consumers, eliminating considerable rework across teams. Data scientists, analysts and ML engineers can search for features based on the consumed raw data and either use features directly or fork existing features.Consistent features for training and servingFeature Provider serves the features in two modes. Batch mode provides features at high throughput for training ML models or batch inference. Online mode provides features at low latency for serving ML models or for the consumption of the same features in BI applications. Features used in model training are automatically tracked with the model and, during model inference, the model itself retrieves them directly from the feature store.Secure features with built-in governanceFeature store integrations provide the full lineage of the data used to compute features. Features have associated ACLs to ensure the right level of security. Integration with MLflow ensures that the features are stored alongside the ML models, eliminating drift between training and serving time.ResourcesVirtual EventLearn moreDocumentationDatabricks Feature Store DocumentationReady to get started?Try Databricks for freeProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Privacy Notice|Terms of Use|Your Privacy Choices|Your California Privacy Rights

https://www.databricks.com/jp/databricks-ventures

Databricks Ventures | DatabricksSkip to main contentプラットフォームデータブリックスのレイクハウスプラットフォームDelta Lakeデータガバナンスデータエンジニアリングデータストリーミングデータウェアハウスデータ共有機械学習データサイエンス料金Marketplaceオープンソーステクノロジーセキュリティ＆トラストセンターWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. ご登録ソリューション業種別のソリューション金融サービス医療・ライフサイエンス製造通信、メディア・エンターテイメント公共機関小売・消費財全ての業界を見るユースケース別ソリューションソリューションアクセラレータプロフェッショナルサービスデジタルネイティブビジネスデータプラットフォームの移行バイオ医薬品企業の経営陣を対象に行った新たな調査により、リアルワールドエビデンス（RWE）の活用による成果が明らかになりました。 アンケートの結果を見る学習ドキュメントトレーニング・認定デモ関連リソースオンラインコミュニティ大学との連携イベントDATA+AI サミットブログラボBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessions導入事例パートナークラウドパートナーAWSAzureGoogle CloudPartner Connect技術・データパートナー技術パートナープログラムデータパートナープログラムBuilt on Databricks Partner ProgramSI コンサルティングパートナーC&SI パートナーパートナーソリューションDatabricks 認定のパートナーソリューションをご利用いただけます。詳しく見る会社情報採用情報経営陣取締役会Databricks ブログニュースルームDatabricks Ventures受賞歴と業界評価ご相談・お問い合わせDatabricks は、ガートナーのマジック・クアドラントで 2 年連続でリーダーに位置付けられています。レポートをダウンロードDatabricks 無料トライアルデモを見るご相談・お問い合わせログインJUNE 26-29ご登録Databricks Venturesデータ、分析、AI の未来への投資 Databricks Ventures （データブリックス・ベンチャーズ）は、データ、分析、AI の未来について Databricks と共通のビジョンを持つ革新的な企業に投資を行っています。その第一弾である「レイクハウスファンド」では、創業期から成長期の企業のうち、レイクハウスのエコシステムの普及・発展に取り組む企業や、レイクハウスアーキテクチャを基盤にデータと AI の次世代を創造する企業に重点を置いています。投資先企業のメリットDatabricks 製品ロードマップへの特別アクセスと、Databricks による高度な技術統合のサポートDatabricks のメンターネットワークによるガイダンスとベストプラクティスの共有Databricks の Go-to-Market プログラムへの参加による顧客リーチの拡大Lakehouse Fund investment focusレイクハウスアーキテクチャを基盤とするデータ、分析、AI の未来について、Databricks と共通のビジョンを持つ企業に投資創業期から成長期の企業を対象に、リードインベスターと連携して投資Databricks のレイクハウスをはじめとするオープンソースおよびオープンプラットフォームの構築にコミットOur PortfolioAlation is the leader in enterprise data intelligence solutions. It helps organizations transform raw data into actionable insights with its data intelligence platform that empowers users to find, understand, govern and use data collaboratively. 詳しく見るArcion is a cloud-native, distributed CDC-based data replication platform that makes building real-time data pipelines simple. Arcion helps enterprises eliminate brittle pipelines and data silos. 詳しく見るdbt is a data transformation framework. Users can work directly within their data lakehouse or warehouse to quickly produce trusted data sets for reporting, ML modeling and operational workflows. 詳しく見るHex is a platform for collaborative analytics and data science. Users can connect to data, analyze in a collaborative SQL and Python-powered notebook, and share work as interactive data apps that anyone can use.詳しく見るThe Hunters SOC platform empowers security teams to automatically identify and respond to incidents that matter, helping teams mitigate real threats faster and more reliably than SIEMs.詳しく見るThe Immuta Data Security Platform enables organizations to unlock value from their cloud data by protecting it and providing secure access. The platform provides sensitive data discovery, security and access control, and data activity monitoring.詳しく見るLabelbox is building a collaborative training data platform that makes it easy to create and manage labeled data, enabling rapid deployment of AI applications.詳しく見るMatillion is the data productivity cloud that gets data business-ready, faster — with enterprise-scale load, transform, sync and orchestration — for insights, analytics, data science, machine learning and AI.詳しく見るPerplexity advances the way people discover and share information using AI-powered search — providing instant answers and information on any topic, with up-to-date sources to help people discover, research and learn faster.詳しく見るRevelate’s data fulfillment platform provides a suite of capabilities for data sharing and data commercialization for customers to fully realize the value of their data.詳しく見るTecton, the machine learning feature platform company, enables data teams to build, centralize, share, and serve production-ready ML features for offline training and online inference, at scale.詳しく見るFAQDatabricks Ventures と提携するメリットは？ 投資の規模や段階に応じて、Databricks の製品ロードマップへの特別アクセス許可、技術統合のサポート、市場参入のサポート、Databricks メンターによるガイドとベストプラクティスの紹介が受けられるほか、Databricks が開催する Data+AI サミットシリーズなどのグローバルな Go-to-Market プログラムへの参加が可能です。Databricks Ventures の投資基準は？ データと AI の未来について Databricks と共通のビジョンを持ち、レイクハウスエコシステムの普及と発展や、レイクハウスアーキテクチャに基づいた次世代のデータ・AI 駆動型企業の構築に全力で取り組む先進的な創業者を支援しています。どのような段階の企業に投資を行いますか？ Databricks は、データ、分析、AI エコシステムにおける創業期から成長期の未公開企業に投資を行います。Databricks Ventures が投資ラウンドでリードインベスターを務めることはありますか？ いいえ、リードインベスターになることはありません。Databricks は、投資をリードする機関投資家と共に投資を行うことを方針にしています。Databricks Ventures の投資規模は？ Databricks Ventures は、ベンチャーキャピタルがリードするラウンドに参加してマイノリティ投資を行います。投資規模は企業の成長段階や資金調達ラウンドの規模によって異なります。Databricks は経営に参加しますか？いいえ、Databricks が投資先企業に取締役を送ることはありません。Databricks でスタートアップを構築するDatabricks for Startups は、Databricks で利用できる無料のクレジット、専門家のアドバイス、Go To Market 戦略のサポートを提供します。詳しく見る製品プラットフォーム料金オープンソーステクノロジーDatabricks 無料トライアルデモ製品プラットフォーム料金オープンソーステクノロジーDatabricks 無料トライアルデモ学習・サポートドキュメント用語集トレーニング・認定ヘルプセンター法務オンラインコミュニティ学習・サポートドキュメント用語集トレーニング・認定ヘルプセンター法務オンラインコミュニティソリューション業種別プロフェッショナルサービスソリューション業種別プロフェッショナルサービス会社情報会社概要採用情報ダイバーシティ＆インクルージョンDatabricks ブログご相談・お問い合わせ会社情報会社概要採用情報ダイバーシティ＆インクルージョンDatabricks ブログご相談・お問い合わせ採用情報言語地域English (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. 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https://www.databricks.com/dataaisummit/speaker/elliot-shmukler

Elliot Shmukler - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingElliot ShmuklerCo-Founder & CEO at AnomaloBack to speakersElliot Shmukler is the co-founder and CEO at Anomalo, where he and the team are building software to help data teams detect and root cause issues in their data before anyone else notices. Before starting Anomalo, Elliot has long championed using data to make decisions and build products as a senior Silicon Valley executive at companies like Instacart, Wealthfront, LinkedIn, and eBay. Elliot is a recognized Silicon Valley expert in data-driven product management and consumer growth strategies.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.

https://www.databricks.com/fr/resources

Resources - DatabricksPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWResourcesLoading...ProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Privacy Notice|Terms of Use|Your Privacy Choices|Your California Privacy Rights

https://www.databricks.com/dataaisummit/speaker/prateek-chawla

Prateek Chawla - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingPrateek ChawlaFounding Engineer at Monte CarloBack to speakersPrateek Chawla is a founding engineer and technical lead at Monte Carlo, where he drives the technical strategy for their data observability platform. Previously, he served as a technical lead at Barracuda, working on email fraud prevention technologies. He graduated Summa Cum Laude with a B.S. in Computer Science and Engineering from the University of California, Santa Cruz. In his free time, Prateek enjoys watching Broadway shows, flying airplanes, reading, and exploring new places.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.

https://www.databricks.com/dataaisummit/speaker/denny-lee/#

Denny Lee - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingDenny LeeSr. Staff Developer Advocate at DatabricksBack to speakersDenny is a Databricks Developer Advocate. A hands-on distributed systems and data sciences engineer with extensive experience developing internet-scale data platforms, and predictive analytics systems. He also has a Masters of Biomedical Informatics from Oregon Health and Sciences University and has implemented powerful data solutions for enterprise Healthcare customers. His current technical focuses include Distributed Systems, Apache Spark, Deep Learning, Machine Learning, and Genomics.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.

https://www.databricks.com/blog/2022/01/14/top-three-data-sharing-use-cases-with-delta-sharing.html

Top Three Data Sharing Use Cases With Delta Sharing - The Databricks BlogSkip to main contentPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWCategoriesAll blog postsCompanyCultureCustomersEventsNewsPlatformAnnouncementsPartnersProductSolutionsSecurity and TrustEngineeringData Science and MLOpen SourceSolutions AcceleratorsData EngineeringTutorialsData StreamingData WarehousingData StrategyBest PracticesData LeaderInsightsIndustriesFinancial ServicesHealth and Life SciencesMedia and EntertainmentRetailManufacturingPublic SectorTop Three Data Sharing Use Cases With Delta Sharingby Jay Bhankharia, Itai Weiss, Matei Zaharia and Sachin ThakurJanuary 14, 2022 in Platform BlogShare this postUpdate: Delta Sharing is now generally available on AWS and Azure. Data sharing has become an essential component to drive business value as companies of all sizes look to securely exchange data with their customers, suppliers and partners. According to a recent Gartner survey, organizations that promote data sharing will outperform their peers on most business value metrics.There are various challenges with the existing data sharing solutions that limit the data sharing within or across organizations and fail to realize the true value of data. Over the last 30 years, data sharing solutions have come in two forms: homegrown solutions or third-party commercial solutions. With homegrown solutions, data sharing has been built on legacy technologies such as SFTP and REST APIs, which have become difficult to manage, maintain or scale with new data requirements. Alternatively, commercial data sharing solutions only allow you to share data with others leveraging the same platform, which limits the data sharing and can be costly.These challenges have led us, at Databricks, to rethink the future of data sharing as open. During the Data + AI Summit 2021, we announced Delta Sharing, the world’s first open protocol for secure and scalable real-time data sharing. Our vision behind Delta Sharing is to build a data-sharing solution that simplifies secure live data sharing across organizations, independent of the platform on which the data resides or is consumed. With Delta Sharing, organizations can easily share existing large-scale datasets based on the Apache Parquet and Delta Lake formats without moving data and empower data teams with the flexibility to query, visualize and enrich shared data with their tools of choice.Delta Sharing ecosystemSince the private preview launch, we have seen tremendous engagement from customers across industries to collaborate and develop a data-sharing solution fit for purpose and open to all. Customers have already shared petabytes of data using Delta Sharing. The Delta Sharing partner ecosystem has also grown since the announcement with both commercial and open-source clients having built-in Delta Sharing connectors such as PowerBI, Pandas, and Apache Spark™ with many others to be released soon.Through our customer conversations, we have identified three common use cases: data commercialization, data sharing with external partners and customers, and line of business data sharing. In this blog post, we explore each one of the top use cases and share some of the insights we are hearing from our customers.Use case 1: Data commercializationCustomer example: A financial data provider was interested in reducing operational inefficiencies with their legacy data delivery channels and making it easier for the end customers to seamlessly access large new datasets.ChallengesThe data provider recently launched new textual datasets that were large in size, with terabytes of data being produced regularly. Providing quick and easy access to these large datasets has been a persistent challenge for the data provider as the datasets were difficult to ingest in bulk for the data recipients. With the current solution, the provider had to replicate data to external SFTP servers, which had many potential points of failure and increased latency.On the recipient side, ingesting and managing this data was not easy due to its size and scale. Data recipients had to set up infrastructure for ingestion, which further required approvals from IT and database administrators, resulting in delays that could take weeks if not longer to complete before the end consumer could start using the data.How Delta Sharing helpsWith Delta Sharing, the data provider can now share large datasets in a seamless manner and overcome the scalability issues with the SFTP servers. These large terabyte sized textual datasets which had to be extracted in batches to SFTP can now be accessed in real time through Delta Sharing. The provider now can simply grant and manage access to the data recipients instead of replicating the data, thereby reducing complexity and latency. With the improved scalability, the data provider is seeing a significant increase in customer adoption as the data consumers have access to live data instead of having to pull the datasets on a regular basis.Use case 2: Data sharing with external partners/customersCustomer example: A large retailer needed to easily share product data (e.g., cereal SKU sales) with partners without being on the same data sharing or cloud computing platform as them. The retailer wanted to create partitioned datasets based on SKUs for partners to easily access the relevant data in real time.ChallengesThe retailer was utilizing homegrown SFTP and APIs to share data with partners, which had become unmanageable. This solution required a considerable amount of development resources to maintain and operate. The retailer looked at other data sharing solutions, but these solutions required their partners to be on the same platform, which is not feasible for all parties due to cost considerations and operational overhead of replicating data across different regions.How Delta Sharing helpsDelta Sharing was an exciting proposition for the retailer to manage and share data efficiently across cloud platforms without the need to replicate the data across regions. The retailer found it easy to manage, create and audit data shares for their 100+ partners through Delta Sharing. For each partner, the retailer can easily create partitions and share the data securely without the need to be on the same data platform. In addition to making the management of the shares easy, Delta Sharing also minimizes the cost, as the data provider only incurs data egress cost from the underlying cloud provider and does not have to pay for any compute charges for data sharing.Use case 3: Internal data sharing with line of businessCustomer example: A manufacturer wants data scientists across its 15+ divisions and subsidiaries to have access to permissioned data to build predictive models. The manufacturer wants to do this with strong governance, controls, and auditing capabilities because of data sensitivity.ChallengesThe manufacturer has many data lake deployments, making it difficult for teams across the organization to access the data securely and efficiently. Managing all this data across the organization is done in a bespoke manner with no strong controls over entitlements and governance. Additionally, many of these datasets are petabytes in size causing concern in the ability to scalably share this data. Management was hesitant about sharing data without the proper data access controls and governance. As a result, the manufacturer was missing unique opportunities to unlock value and allow more unique insights for the data science teams.How Delta Sharing helpsWith Delta Sharing, the manufacturer now has the ability to govern and share data across distinct internal entities without having to move data. Delta Sharing lets the manufacturer grant, track, and audit access to shared data from a single point of enforcement. Without having to move these large datasets, the manufacturer doesn’t have to worry about managing different services to replicate the data. Delta Sharing enabled the manufacturer to securely share data much quicker than they expected, allowing for immediate benefits as the end-users could begin working with unique datasets that were previously siloed. The manufacturer is also excited to utilize the built-in Delta Sharing connector with PowerBI, which is their tool of choice for data visualization.Getting started with Delta SharingDelta Sharing makes it simple to share data with other organizations regardless of which data platforms they use. We are thrilled to share the first solution that provides an open and secure solution without proprietary lock-in that helps data teams easily share data, manage privacy, security and compliance across organizations.To try Delta Sharing on Databricks, reach out to your Databricks account executive or sign up to get an early access. For many of our customers, governance is top of mind when sharing data. Delta Sharing is natively integrated with Unity Catalog, which enables customers to add fine-grained governance and security controls, making it easy and safe to share data internally or externally. Once you have enabled Unity Catalog in your databricks account, try out the quick start notebooks below to get started with Delta Sharing on Databricks:Creating a share and granting access to a data recipientConnecting to a share and accessing the data To try the open source Delta Sharing release, follow the instructions at delta.io/sharing.Interested in participating in the Delta Sharing open source project?We’d love to get your feedback on the Delta Sharing project and ideas or contributions for new features. Get involved with the Delta Sharing community by following the instructions here.Try Databricks for freeGet StartedSee all Platform Blog postsProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Privacy Notice|Terms of Use|Your Privacy Choices|Your California Privacy Rights

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Try Databricks | DatabricksTry Databricks free Test-drive the full Databricks platform free for 14 days on your choice of AWS, Microsoft Azure or Google Cloud.Simplify data ingestion and automate ETLIngest data from hundreds of sources. Use a simple declarative approach to build data pipelines.Collaborate in your preferred languageCode in Python, R, Scala and SQL with coauthoring, automatic versioning, Git integrations and RBAC.12x better price/performance than cloud data warehousesSee why over 7,000 customers worldwide rely on Databricks for all their workloads from BI to AI.Create your Databricks account1/2First nameLast NameEmailCompanyTitlePhone (Optional)SelectCountryContinuePrivacy Notice (Updated)Terms of UseYour Privacy ChoicesYour California Privacy Rights

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Privacy Notice | DatabricksPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWLegalTermsDatabricks Master Cloud Services AgreementAdvisory ServicesTraining ServicesUS Public Sector ServicesExternal User TermsWebsite Terms of UseCommunity Edition Terms of ServiceAcceptable Use PolicyPrivacyPrivacy NoticeCookie NoticeApplicant Privacy NoticeDatabricks SubprocessorsPrivacy FAQsDatabricks Data Processing AddendumAmendment to Data Processing AddendumSecurityDatabricks SecuritySecurity AddendumLegal Compliance and EthicsLegal Compliance & EthicsCode of ConductThird Party Code of ConductModern Slavery StatementFrance Pay Equity ReportSubscribe to UpdatesPrivacy NoticeThis Privacy Notice explains how Databricks, Inc. and its affiliates (“Databricks”, “we”, “our”, and “us”) collects, uses, shares and otherwise processes your personal information (also known as personal data) in connection with the use of Databricks websites and applications that link to this Privacy Notice (the “Sites”), our data processing platform products and services (the “Platform Services”) and in the usual course of business, such as in connection with our events, sales, and marketing activities (collectively, “Databricks Services”). 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We collect Usage Data to provide, support and operate the Platform Services, for network and information security, and to better understand how our Authorized Users and Customers are using the Platform Services to improve our products and services. We may also use the information we collect automatically (for example, IP address, and unique device identifiers) to identify the same unique person across Databricks Services to provide a more seamless and personalized experience to you. Information we receive from other sourcesWe may obtain information about you from third party sources, including resellers, distributors, business partners, event sponsors, security and fraud detection services, social media platforms, and publicly available sources. Examples of information that we receive from third parties include marketing and sales information (such as name, email address, phone number and similar contact information), and purchase, support and other information about your interactions with our Sites and Platform Services. We may combine such information with the information we receive and collect from you.How We Use Your InformationWe use your personal information to provide, maintain, improve and update our Databricks Services. Our purposes for collecting your personal information include:to provide, maintain, deliver and update the Databricks Services;to create and maintain your Databricks account;to measure your use and improve Databricks Services, and to develop new products and services;for billing, payment, or account management; for example, to identify your account and correctly identify your usage of our products and services;to provide you with customer service and support;to register and provide you with training and certification programs;to investigate security issues, prevent fraud, or combat the illegal or controlled uses of our products and services;for sales phone calls for training and coaching purposes, quality assurance and administration (in accordance with applicable laws), including to analyze sales calls using analytics tools to gain better insights into our interactions with customers; to send you notifications about the Databricks Services, including technical notices, updates, security alerts, administrative messages and invoices;to respond to your questions, comments, and requests, including to keep in contact with you regarding the products and services you use;to tailor and send you newsletters, emails and other content to promote our products and services (you can always unsubscribe from our marketing emails by clicking here) and to allow third party partners (like our event sponsors) to send you marketing communications about their services, in accordance with your preferences;to personalize your experience when using our Sites and Platform Services;for advertising purposes; for example, to display and measure advertising on third party websites;to contact you to conduct surveys and for market research purposes;to generate and analyze statistical information about how our Sites and Platform Services are used in the aggregate;for other legitimate interests or lawful business purposes; for example, customer surveys, collecting feedback, and conducting audits;to comply with our obligations under applicable law, legal process, or government regulation; andfor other purposes, where you have given consent.How We Share Your InformationWe may share your personal information with third parties as follows:with our affiliates and subsidiaries for the purposes described in this Privacy Notice;with our service providers who assist us in providing the Databricks Services, such as billing, payment card processing, customer support, sales and marketing, and data analysis, subject to confidentiality obligations and the requirement that those service providers do not sell your personal information;with our service providers who assist us with detecting and preventing fraud, security threats or other illegal or malicious behavior, for example Sift who provides fraud detection services where your personal information is processed by Sift in accordance with its Privacy Notice available at https://sift.com/service-privacy;with third party business partners, such as resellers, distributors, and/or referral partners, who are involved in providing content, products or services to our prospects or Customers. We may also engage with third party partners who are working with us to organize or sponsor an event to which you have registered to enable them to contact you about the event or their services (but only where we have a lawful basis to do so, such as your consent where required by applicable law);with marketing partners, such as advertising providers that tailor online ads to your interests based on information they collect about your online activity (known as interest-based advertising);with the organization that is sponsoring your training or certification program, for example to notify them of your registration and completion of the course;when authorized by law or we deem necessary to comply with a legal process;when required to protect and defend the rights or property of Databricks or our Customers, including the security of our Sites, products and services (including the Platform Services);when necessary to protect the personal safety, property or other rights of the public, Databricks or our Customers;where it has been de-identified, including through aggregation or anonymization;when you instruct us to do so;where you have consented to the sharing of your information with third parties; orin connection with a merger, sale, financing or reorganization of all or part of our business.International TransfersDatabricks may transfer your personal information to countries other than your country of residence. In particular, we may transfer your personal information to the United States and other countries where our affiliates, business partners and services providers are located. These countries may not have equivalent data protection laws to the country where you reside. Wherever we process your personal information, we take appropriate steps to ensure it is protected in accordance with this Privacy Notice and applicable data protection laws. These safeguards include implementing the European Commission’s Standard Contractual Clauses for transfers of personal information from the EEA or Switzerland between us and our business partners and service providers, and equivalent measures for transfers of personal information from the United Kingdom. Databricks also offers our Customers the ability to enter into a data processing addendum (DPA) that contains the Standard Contractual Clauses, for transfers between us and our Customers. We also make use of supplementary measures to ensure your information is adequately protected. Privacy Shield NoticeDatabricks adheres to the principles of the EU-U.S. and Swiss-U.S. Privacy Shield Frameworks, although Databricks no longer relies on the EU-U.S. or Swiss-U.S. Privacy Shield Frameworks as a legal basis for transfers of personal information in light of the judgment of the Court of Justice of the European Union in Case C-311/18. To learn more, visit our Privacy Shield Notice.Your Choices and RightsWe offer you choices regarding the collection, use and sharing of your personal information and we will respect the choices you make in accordance with applicable law. Please note that if you decide not to provide us with certain personal information, you may not be able to access certain features of the Sites or use the Platform Services.Account informationIf you want to correct, update or delete your account information, please log on to your Databricks account and update your profile.Opt out of marketingWe may periodically send you marketing communications that promote our products and services consistent with your choices. You may opt out from receiving such communications, either by following the unsubscribe instructions in the communication you receive or by clicking here. Please note that we may still send you important service-related communications regarding our products or services, such as communications about your subscription or account, service announcements or security information.Your privacy rightsDepending upon your place of residence, you may have rights in relation to your personal information. Please review the jurisdiction specific sections below, including the disclosures for California residents. Depending on applicable data protection laws, those rights may include asking us to provide certain information about our collection and processing of your personal information, or requesting access, correction or deletion of your personal information. You also have the right to withdraw your consent, to the extent we rely on consent to process your personal information. If you wish to exercise any of your rights under applicable data protection laws, submit a request online by completing the request form here or emailing us at [email protected]. We will respond to requests that we receive in accordance with applicable laws. Databricks may take certain steps to verify your request using information available to us, such as your email address or other information associated with your Databricks account, and if needed we may ask you to provide additional information for the purposes of verifying your request. Any information you provide to us for verification purposes will only be used to process and maintain a record of your request.As described above, we may also process personal information that has been submitted by a Customer to our Platform Services. If your personal information has been submitted to the Platform Services by or on behalf of a Databricks Customer and you wish to exercise your privacy rights, please direct your request to the relevant Customer. For other inquiries, please contact us at [email protected].Additional Information for Certain JurisdictionsThis section provides additional information about our privacy practices for certain jurisdictions.CaliforniaIf you are a California resident, the California Consumer Privacy Act (“CCPA”) requires us to provide you with additional information regarding your rights with respect to your “personal information. This information is described in our Supplemental Privacy Notice to California Residents.  Other US StatesDepending on applicable laws in your state of residence, you may request to: (1) confirm whether or not we process your personal information; (2) access, correct, or delete personal information we maintain about you; (3) receive a portable copy of such personal information; and/or (4) restrict or opt out of certain processing of your personal information, such as targeted advertising, or profiling in furtherance of decisions that produce legal or similarly significant effects. If we refuse to take action on a request, we will provide instructions on how you may appeal the decision. We will respond to requests consistent with applicable law.European Economic Area, UK and SwitzerlandIf you are located in the European Economic Area, United Kingdom or Switzerland, the controller of your personal information is Databricks, Inc., 160 Spear Street, Suite 1300, San Francisco, CA 94105, United States. We only collect your personal information if we have a legal basis for doing so. The legal basis that we rely on depends on the personal information concerned and the specific context in which we collect it. Generally, we collect and process your personal information where:We need it to enter into or perform a contract with you, such as to provide you with the Platform Services, respond to your request, or provide you with customer support;We need to process your personal information to comply with a legal obligation (such as to comply with applicable legal, tax and accounting requirements) or to protect the vital interests of you or other individuals;You give us your consent, such as to receive certain marketing communications; orWhere we have a legitimate interest, such as to respond to your requests and inquiries, to ensure the security of the Sites and Platform Services, to detect and prevent fraud, to maintain, customize and improve the Sites and Platform Services, to promote Databricks and our Platform Services, and to defend our interests and rights.If you have consented to our use of your personal information for a specific purpose, you have the right to change your mind at any time but this will not affect our processing of your information that has already taken place. You also have the following rights with respect to your personal information:The right to access, correct, update, or request deletion of your personal information;The right to object to the processing of your personal information or ask that we restrict the processing of your personal information;The right to request portability of your personal information;The right to withdraw your personal information at any time, if we collected and processed your personal information with your consent; andThe right to lodge a complaint with your national data protection authority or equivalent regulatory body.If you wish to exercise any of your rights under data protection laws, please contact us as described under “Your Choices and Rights”.Other Important InformationNotice to Authorized UsersOur Platform Services are intended to be used by organizations. Where the Platform Services are made available to you through an organization (e.g., your employer), that organization is the administrator of the Platform Services and responsible for the accounts and/or services over which it has control. For example, administrators can access and change information in your account or restrict and terminate your access to the Platform Services. We are not responsible for the privacy or security practices of an administrator's organization, which may be different from this Privacy Notice. Please contact your organization or refer to your organization's policies for more information.Data RetentionDatabricks retains the personal information described in this Privacy Notice for as long as you use our Databricks Services, as may be required by law (for example, to comply with applicable legal tax or accounting requirements), as necessary for other legitimate business or commercial purposes described in this Privacy Notice (for example, to resolve disputes or enforce our agreements), or as otherwise communicated to you.SecurityWe are committed to protecting your information. We use a variety of technical, physical, and organizational security measures designed to protect against unauthorized access, alteration, disclosure, or destruction of information. However, no security measures are perfect or impenetrable. As such, we cannot guarantee the security of your information.Third Party ServicesOur Databricks Services may contain links to third party websites, applications, services, or social networks (including co-branded websites or products that are maintained by one of our business partners). We may also make available certain features that allow you to sign into our Sites using third party login credentials (such as LinkedIn, Facebook, Twitter and Google+) or access third party services from our Platform Services (such as Github). Any information that you choose to submit to third party services is not covered by this Privacy Notice. We encourage you to read the terms of use and privacy notices of use of such third party services before sharing your information with them to understand how your information may be collected and used.Children's DataThe Sites and Platform Services are not directed to children under 18 years of age and Databricks does not knowingly collect personal information from children under 18. If we learn that we have collected any personal information from children under 18, we will promptly take steps to delete such information. If you are aware that a child has submitted us such information, please contact us using the details provided below.Changes to this NoticeDatabricks may change this Privacy Notice from time to time. We will post any changes on this page and, if we make material changes, provide a more prominent notice (for example, by adding a statement to the website landing page, providing notice through the Platform Services login screen, or by emailing you). You can see the date on which the latest version of this Privacy Notice was posted below. If you disagree with any changes to this Privacy Notice, you should stop using the Databricks Services and deactivate your Databricks account. How to Contact UsPlease contact us at [email protected] if you have any questions about our privacy practices or this Privacy Notice. You can also write to us at Databricks Inc., 160 Spear Street, Suite 1300, San Francisco, CA 94105 Attn: Privacy.If you interact with Databricks through or on behalf of your organization, then your personal information may also be subject to your organization’s privacy practices and you should direct any questions to that organization.Last updated: January 3, 2023ProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Privacy Notice|Terms of Use|Your Privacy Choices|Your California Privacy Rights

https://www.databricks.com/dataaisummit/speaker/stephen-shelton/#

Stephen Shelton - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingStephen SheltonVice President, Business Intelligence at Pluto TVBack to speakersLooking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.

https://www.databricks.com/cdn-cgi/l/email-protection#6c081f1e2c080d180d0e1e050f071f420f0301

Email Protection | Cloudflare Please enable cookies. Email Protection You are unable to access this email address databricks.com The website from which you got to this page is protected by Cloudflare. Email addresses on that page have been hidden in order to keep them from being accessed by malicious bots. You must enable Javascript in your browser in order to decode the e-mail address. If you have a website and are interested in protecting it in a similar way, you can sign up for Cloudflare. How does Cloudflare protect email addresses on website from spammers? Can I sign up for Cloudflare? Cloudflare Ray ID: 7c5c3ea458db3b8a • Your IP: Click to reveal 2601:147:4700:3180:15eb:de93:22f5:f511 • Performance & security by Cloudflare

https://www.databricks.com/dataaisummit/speaker/ajali-sen

Ajali Sen - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingAjali SenSenior Manager at AccentureBack to speakersLooking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.

https://www.databricks.com/dataaisummit/special-events?itm_data=hp-hamburger-specialevents-dais23

Special Events - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingSpecial EventsYour pass will give you free access to a host of special events across four days in San Francisco. Attend parties and get-togethers, networking opportunities, meetups and specialist panels, such as the Women in Data discussion.MeetupsWomen in Data + AIPartiesMeetupsJoin like-minded professionals at our Data + AI Summit meetups to discuss the latest news, innovations and trends across the data, analytics and AI ecosystem. Come to a meetup!Eat, socialize and network with fellow data prosLearn new tips and tricks for your favorite technologiesSee what new features are in the pipelineWomen in Data and AIAttend our popular Women in Data and AI panel discussion and explore the array of activities and opportunities for women in data to connect. Join us for a special luncheon, a meetup at our after-party and much, much more throughout Summit. As an attendee, you can: Hear from women who are making an impact and revolutionizing the world of data, analytics and AI — during a lunch and learn sessionJoin us at a dedicated meetup and offsite party for Data + AI Summit womenNetwork throughout the event with inspirational women who work in data, analytics and AIPartiesEnjoy exclusive parties — celebrate the world of data, analytics and AI with your fellow data professionals throughout four days in San Francisco. Join us for a variety of social gatherings including an offsite party featuring live entertainment and more fun activities! Details coming soon. Don’t miss this year’s event!Register NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.

https://www.databricks.com/glossary/what-is-parquet

What is Apache Parquet?PlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWParquetAll>ParquetTry Databricks for freeGet StartedWhat is Parquet?Apache Parquet is an open source, column-oriented data file format designed for efficient data storage and retrieval. It provides efficient data compression and encoding schemes with enhanced performance to handle complex data in bulk. Apache Parquet is designed to be a common interchange format for both batch and interactive workloads. It is similar to other columnar-storage file formats available in Hadoop, namely RCFile and ORC.Characteristics of ParquetFree and open source file format.Language agnostic.Column-based format - files are organized by column, rather than by row, which saves storage space and speeds up analytics queries.Used for analytics (OLAP) use cases, typically in conjunction with traditional OLTP databases.Highly efficient data compression and decompression.Supports complex data types and advanced nested data structures.Benefits of ParquetGood for storing big data of any kind (structured data tables, images, videos, documents).Saves on cloud storage space by using highly efficient column-wise compression, and flexible encoding schemes for columns with different data types.Increased data throughput and performance using techniques like data skipping, whereby queries that fetch specific column values need not read the entire row of data.Apache Parquet is implemented using the record-shredding and assembly algorithm, which accommodates the complex data structures that can be used to store the data. Parquet is optimized to work with complex data in bulk and features different ways for efficient data compression and encoding types. This approach is best especially for those queries that need to read certain columns from a large table. Parquet can only read the needed columns therefore greatly minimizing the IO.Advantages of Storing Data in a Columnar Format:Columnar storage like Apache Parquet is designed to bring efficiency compared to row-based files like CSV. When querying, columnar storage you can skip over the non-relevant data very quickly. As a result, aggregation queries are less time-consuming compared to row-oriented databases. This way of storage has translated into hardware savings and minimized latency for accessing data.Apache Parquet is built from the ground up. Hence it is able to support advanced nested data structures. The layout of Parquet data files is optimized for queries that process large volumes of data, in the gigabyte range for each individual file.Parquet is built to support flexible compression options and efficient encoding schemes. As the data type for each column is quite similar, the compression of each column is straightforward (which makes queries even faster). Data can be compressed by using one of the several codecs available; as a result, different data files can be compressed differently.Apache Parquet works best with interactive and serverless technologies like AWS Athena, Amazon Redshift Spectrum, Google BigQuery and Google Dataproc.Difference Between Parquet and CSVCSV is a simple and common format that is used by many tools such as Excel, Google Sheets, and numerous others. Even though the CSV files are the default format for data processing pipelines it has some disadvantages:Amazon Athena and Spectrum will charge based on the amount of data scanned per query.Google and Amazon will charge you according to the amount of data stored on GS/S3.Google Dataproc charges are time-based.Parquet has helped its users reduce storage requirements by at least one-third on large datasets, in addition, it greatly improved scan and deserialization time, hence the overall costs. The following table compares the savings as well as the speedup obtained by converting data into Parquet from CSV.DatasetSize on Amazon S3Query Run TimeData ScannedCostData stored as CSV files1 TB236 seconds1.15 TB$5.75Data stored in Apache Parquet Format130 GB6.78 seconds2.51 GB$0.01Savings87% less when using Parquet34x faster99% less data scanned99.7% savingsParquet and Delta LakeThe open source Delta Lake project builds upon and extends the Parquet format, adding additional functionality like ACID transactions on cloud object storage, time travel, schema evolution, and simple DML commands (CREATE/UPDATE/INSERT/DELETE/MERGE). Delta Lake implements many of these important features through the use of an ordered transaction log that makes data warehousing functionality possible on cloud object storage. Learn more in the Databricks blog post Diving into Delta Lake: Unpacking the Transaction Log.Additional ResourcesACID, Time Travel and more for Parquet - Tech Talk SeriesOptimizing Delta/Parquet Data Lakes for Apache SparkSpark + Parquet In DepthParquet Files DocumentationDelta Lake Product PageBack to GlossaryProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Privacy Notice|Terms of Use|Your Privacy Choices|Your California Privacy Rights

https://www.databricks.com/dataaisummit/speaker/derek-sugden

Derek Sugden - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingDerek SugdenAd Measurement Lead – Measurement & Attribution at EffectvBack to speakersDerek Sugden is an accomplished professional who serves as the Ad Measurement Lead on the Measurement and Attribution Team at Effectv. With a background in Ichthyology, Derek made a transition to the media and entertainment industry over 5 years ago. He brings a unique perspective and a wealth of knowledge to his role, utilizing his expertise to advance attribution capabilities and measure the effectiveness of cross-screen advertising campaigns.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.

https://www.databricks.com/dataaisummit/speaker/justin-lai/#

Justin Lai - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingJustin LaiDistinguished Data Architect at BlackBerryBack to speakersJustin is Software Architect at BlackBerry for over 12 years and have experience working in many areas ranging from low level network stack on BlackBerry Devices, Android application development, to Cloud Data engineering.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.

https://www.databricks.com/dataaisummit/speaker/harsh-mishra

Harsh Mishra - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingHarsh MishraLead Enterprise Architect at Australian Rail Track CorporationBack to speakersHarsh Mishra, as a Lead Enterprise Architect of Systems and Integration, plays an integral role in facilitating the design and implementation of the Strengthening the Core work packages for the ARTC Digital Strategy and building integrated technology roadmaps to drive the successful foundation of the ARTC Digital Strategy. He comes from a strong digital transformation background where he has successfully transformed multiple Australian company's digital and data footprints.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.

https://www.databricks.com/company/careers

Careers at Databricks | DatabricksSkip to main contentPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWAttention: Databricks applicantsDue to reports of phishing, all Databricks applicants should apply on our official Careers page (good news — you are here). All official communication from Databricks will come from email addresses ending with @databricks.com, @us-greenhouse-mail.io or @goodtime.io.Careers at DatabricksWe’re on a mission to help data teams solve the world’s toughest problems. Will you join us?See open jobs OverviewCultureBenefitsDiversityStudents & new gradsUplevel your career. Level up the future.Databricks is leading the data and AI revolution. We created a category called the lakehouse. And now, thousands of companies are using it to solve problems like climate change, fraud, customer churn and so much more. If you’re looking for an opportunity that could truly define your career, this is it.Why lakehouse is the futureWhy Databricks?We’re growing fast and attracting the best talent in the world. Bricksters — as we call ourselves — are a special mix of smart, curious, quick thinkers. If you ask a Brickster what they love about working here, you’ll likely hear about our culture.See our culture principlesFind your teamAdministrationBusiness DevelopmentCustomer SuccessEngineeringField EngineeringFinanceITLegalMarketingOperationsPeople & HRProductProfessional ServicesRecruitingSalesSecurityInternships & Early CareerBenefits, perks and hybrid workTo do your best work, your health and well-being are key. That’s why we offer great benefits and perks — including flexible ways of working. It all depends on what works best for you and your team.Check out our benefitsDiversity, Equity and InclusionWe believe different backgrounds, perspectives and skills fuel our success. That’s why we work hard at cultivating an inclusive and supportive environment. Find out how we’re closing the pay gap, removing unconscious bias from recruitment and more.See inclusion in actionLocationsHeadquartered in San Francisco, California, we now have over 20 offices in 12 countries. With 4,500+ Bricksters worldwide and an ambitious growth strategy, we’re one of the fastest growing enterprise software cloud companies.Check out our offices around the worldAmericas  San FranciscoSeattleWashington, D.C.New York CitySee moreEurope  LondonAmsterdamBerlinMunichSee moreAsia-Pacific  TokyoSingaporeSeoulHangzhouSee moreOpportunities for students and new graduatesWe’re committed to developing our next generation of Databricks leaders. That’s why we’re intentional about having our interns and new college grads play an integral role in developing our platform.Our University Program is designed to help you make the most of your experience — from engineering hackathons and Intern Olympics to board game nights and happy hours.Explore internships and opportunities Health plan transparency in coverage (U.S. only)ProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Privacy Notice|Terms of Use|Your Privacy Choices|Your California Privacy Rights

https://www.databricks.com/solutions/accelerators/customer-segmentation

Solution Accelerator - How to build: Customer segmentation for personalization | DatabricksPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWSolution AcceleratorHow to build: Customer segmentation for personalizationSegment your customers for better targeting Create advanced customer segments to drive better purchasing predictions based on behaviors. Using sales data, campaigns and promotions systems, this solution helps derive a number of features that capture the behavior of various households. Build useful customer clusters to target with different promos and offers. Read the full write-up Download notebooksBenefits and business valueKnow which customers to targetIdentify target customer groups and what to offer themPersonalize at scaleScale fine-grain-level segmentations rapidly to quickly personalize customer experiencesCollaborate and shareSegmentation data is used by product, marketing and other teams, and the Databricks Lakehouse Platform is built for flexible collaborationReference ArchitectureDeliver AI innovation faster with Solution Accelerators for popular industry use cases. See our full library of solutionsReady to get started?Try Databricks for freeProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Privacy Notice|Terms of Use|Your Privacy Choices|Your California Privacy Rights

https://www.databricks.com/dataaisummit/speaker/amanda-milberg/#

Amanda Milberg - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingAmanda MilbergSenior Partner Sales Engineer at DataikuBack to speakersAmanda is a Senior Partner Sales Engineer with a strong interest in NLP and AI / Machine Learning business solutions. Amanda has a proven track record of assisting large institutions in business transformation efforts in the advanced analytics space and an innate ability to explain deep technical concepts to a broad audience.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.

https://www.databricks.com/glossary/unified-data-warehouse

Unified Data WarehousePlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWUnified Data WarehouseAll>Unified Data WarehouseWhat is a Unified Data Warehouse?A unified database also known as an enterprise data warehouse holds all the business information of an organization and makes it accessible all across the company. Most companies today, have their data managed in isolated silos while different teams of the same organization use various data management tools for various types of data such as data quality, data integration, data governance, metadata and master data management, B2B data exchange, database administration and architecture,etc. The adoption of enterprise DWs in large companies has become a best practice for storing integrated and centralized data extracted from various disparate operational sources. In this way, complicated queries can be executed without conflicting with the transactional operations of the operational systems.The typical architecture of a DW consists of different components where data is passed from one component to the next after some critical operation is performed on the data. The structure of a unified data warehouse consists of a subset of the components contained in the Data warehouse architecture, namely: the data sources, the core DW, the data marts, the Extraction, Transformation and Loading (ETL) processes and the metadata repositories. The most important benefit of unified data warehousing comes from the fact that all the data is based on one central premise: as a result, there is no need to analyze the data separately in order to convert it into actionable information which can facilitate an improved decision-making process.Advantages Offered by a Unified Data Warehouses:Data warehouses offer added support for data, in that they are designed to track, manage, and analyze information, providing a great environment that is designed for decision support, analytics reporting, and data mining.A unified data warehouse works hand-in-hand with other analytics programs to promote company growth.All the company’s data is constantly available for analyzing and planning purposesUsers can store vast amounts of data with a large variety of parameters. That data can be drawn from multiple, usually unrelated sources.A unified data warehouse has the ability to refine data, eliminating redundant information, while increasing overall data quality.Keeps data manipulation to a minimum and integrity at its highest level.Provides improved and up-to-date informationAdditional ResourcesUnified Cloud Data Analytics PlatformModern Cloud Data Platform for DummiesNew Microsoft Azure Data Warehouse Service and Azure Databricks Combine Analytics, BI, and Data ScienceBack to GlossaryProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Privacy Notice|Terms of Use|Your Privacy Choices|Your California Privacy Rights

https://www.databricks.com/dataaisummit/speaker/paul-wellman/#

Paul Wellman - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingPaul WellmanVP, Executive Product Owner, Data-as-a-Service at TD BankBack to speakersLooking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.

https://www.databricks.com/solutions/accelerators/customer-lifetime-value

Calculate Customer Lifetime Value | DatabricksPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWSolution AcceleratorAnalyze Customer Lifetime ValuePre-built code, sample data and step-by-step instructions ready to go in a Databricks notebookGet startedAccurately identify your high-value and longtime customersAnalyzing customer lifetime value is critical to improving marketing decision-making, campaign ROI and customer retention. Learn how to identify your most valuable customers with our Customer Lifetime Value Solution Accelerator. In this accelerator, you will ingest sample retail data, build visualizations to explore past purchase behavior and use machine learning to predict the likelihood of future purchases.Understand your customers to appropriately engage with themEnhance customer acquisition strategiesImprove retention to drive growth from existing customersDownload notebookResourcesBlogLearn moreBlogLearn moreeBooks & VideosLearn moreDeliver innovation faster with Solution Accelerators for popular data and AI use cases across industries. See our full library of solutionsReady to get started?Try Databricks for freeProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Privacy Notice|Terms of Use|Your Privacy Choices|Your California Privacy Rights

https://www.databricks.com/dataaisummit/speaker/justin-breese/#

Justin Breese - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingJustin BreeseSr. Product Manager at DatabricksBack to speakersJustin is a Product Manager at Databricks and works on areas like query processing and SQL. He has a ton of interests: soccer, hiking, brewing beer, roasting coffee, and older cars. Justin lives in Topanga, CA with his wife and a baby boy (due in July).Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.

https://www.databricks.com/de/company/partners/consulting-and-si/candsi-partner-program

Partnerseite: Consulting- und SI-Partner | DatabricksSkip to main contentPlattformDie Lakehouse-Plattform von DatabricksDelta LakeData GovernanceData EngineeringDatenstreamingData-WarehousingGemeinsame DatennutzungMachine LearningData SciencePreiseMarketplaceOpen source techSecurity & Trust CenterWEBINAR 18. Mai / 8 Uhr PT Auf Wiedersehen, Data Warehouse. Hallo, Lakehouse. Nehmen Sie teil, um zu verstehen, wie ein Data Lakehouse in Ihren modernen Datenstapel passt. Melden Sie sich jetzt anLösungenLösungen nach BrancheFinanzdienstleistungenGesundheitswesen und BiowissenschaftenFertigungKommunikation, Medien und UnterhaltungÖffentlicher SektorEinzelhandelAlle Branchen anzeigenLösungen nach AnwendungsfallSolution AcceleratorsProfessionelle ServicesDigital-Native-UnternehmenMigration der Datenplattform9. Mai | 8 Uhr PT   Entdecken Sie das Lakehouse für die Fertigung Erfahren Sie, wie Corning wichtige Entscheidungen trifft, die manuelle Inspektionen minimieren, die Versandkosten senken und die Kundenzufriedenheit erhöhen.Registrieren Sie sich noch heuteLernenDokumentationWEITERBILDUNG & ZERTIFIZIERUNGDemosRessourcenOnline-CommunityUniversity AllianceVeranstaltungenData + AI SummitBlogLabsBaken26.–29. Juni 2023 Nehmen Sie persönlich teil oder schalten Sie für den Livestream der Keynote einJetzt registrierenKundenPartnerCloud-PartnerAWSAzureGoogle CloudPartner ConnectTechnologie- und DatenpartnerTechnologiepartnerprogrammDatenpartner-ProgrammBuilt on Databricks Partner ProgramConsulting- und SI-PartnerC&SI-PartnerprogrammLösungen von PartnernVernetzen Sie sich mit validierten Partnerlösungen mit nur wenigen Klicks.Mehr InformationenUnternehmenKarriere bei DatabricksUnser TeamVorstandUnternehmensblogPresseAktuelle Unternehmungen von DatabricksAuszeichnungen und AnerkennungenKontaktErfahren Sie, warum Gartner Databricks zum zweiten Mal in Folge als Leader benannt hatBericht abrufenDatabricks testenDemos ansehenKontaktLoginJUNE 26-29REGISTER NOWC&SI-PartnerprogrammDas Databricks Consulting and SI (C&SI)-Partnerprogramm ist wertorientiert und ermöglicht es uns, besser zusammenzuarbeiten, um enorme Erfolge zu erzielen.Jetzt bewerbenWerden Sie Teil eines globalen Ökosystems von Daten- und KI-Serviceanbietern, die unsere gemeinsamen Kunden in datengesteuerte Unternehmen verwandeln. Als Partner spielen Sie eine wichtige Rolle bei der Förderung folgender Punkte:Auswirkungen auf den Vertrieb Binden Sie unsere Außendienstteams ein, um Kunden die Vision des Lakehouse zu vermitteln und die Präsenz von Databricks zu erweitern.Kundenwert Schulen Sie Ihr Team auf der Plattform, um die Kapazität und Fähigkeit Ihres Geschäftsbereichs aufzubauen.Innovation Bringen Sie Ihr Fachwissen ein, indem Sie wiederholbare Lösungen für wichtige Anwendungsfälle von Kunden entwickeln.Nutzen Sie die Vorteile von Einbindung und Befähigung, damit Sie Ihren Geschäftsbereich ausbauen und eine erfolgreiche Partnerschaft aufbauen können:Technische Schulungen von DatabricksZugriff auf die Databricks Lakehouse-PlattformTechnischer Support und VertriebsunterstützungRegistrierung von Geschäftsgelegenheiten und Gebühren für EmpfehlungenInvestmentfonds für KundenMarkteintrittsbefähigung und RessourcenMöchten Sie loslegen?Jetzt bewerbenPartner findenProduktPlatform OverviewPreiseOpen Source TechDatabricks testenDemoProduktPlatform OverviewPreiseOpen Source TechDatabricks testenDemoLearn & SupportDokumentationGlossaryWEITERBILDUNG & ZERTIFIZIERUNGHelp CenterLegalOnline-CommunityLearn & SupportDokumentationGlossaryWEITERBILDUNG & ZERTIFIZIERUNGHelp CenterLegalOnline-CommunityLösungenBy IndustriesProfessionelle ServicesLösungenBy IndustriesProfessionelle ServicesUnternehmenÜber unsKarriere bei DatabricksDiversität und InklusionUnternehmensblogKontaktUnternehmenÜber unsKarriere bei DatabricksDiversität und InklusionUnternehmensblogKontaktWeitere Informationen unter „Karriere bei DatabricksWeltweitEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Datenschutzhinweis|Terms of Use|Ihre Datenschutzwahlen|Ihre kalifornischen Datenschutzrechte

https://www.databricks.com/fr/professional-services

Services professionnels de Databricks | DatabricksSkip to main contentPlateformeThe Databricks Lakehouse PlatformDelta LakeGouvernance des donnéesData EngineeringStreaming de donnéesEntreposage des donnéesPartage de donnéesMachine LearningData ScienceTarifsMarketplaceOpen source techCentre sécurité et confianceWEBINAIRE mai 18 / 8 AM PT Au revoir, entrepôt de données. Bonjour, Lakehouse. Assistez pour comprendre comment un data lakehouse s’intègre dans votre pile de données moderne. Inscrivez-vous maintenantSolutionsSolutions par secteurServices financiersSanté et sciences du vivantProduction industrielleCommunications, médias et divertissementSecteur publicVente au détailDécouvrez tous les secteurs d'activitéSolutions par cas d'utilisationSolution AcceleratorsServices professionnelsEntreprises digital-nativesMigration des plateformes de données9 mai | 8h PT   Découvrez le Lakehouse pour la fabrication Découvrez comment Corning prend des décisions critiques qui minimisent les inspections manuelles, réduisent les coûts d’expédition et augmentent la satisfaction des clients.Inscrivez-vous dès aujourd’huiApprendreDocumentationFORMATION ET CERTIFICATIONDémosRessourcesCommunauté en ligneUniversity AllianceÉvénementsSommet Data + IABlogLabosBeacons26-29 juin 2023 Assistez en personne ou connectez-vous pour le livestream du keynoteS'inscrireClientsPartenairesPartenaires cloudAWSAzureGoogle CloudContact partenairesPartenaires technologiques et de donnéesProgramme partenaires technologiquesProgramme Partenaire de donnéesBuilt on Databricks Partner ProgramPartenaires consulting et ISProgramme Partenaire C&SISolutions partenairesConnectez-vous en quelques clics à des solutions partenaires validées.En savoir plusEntrepriseOffres d'emploi chez DatabricksNotre équipeConseil d'administrationBlog de l'entreprisePresseDatabricks VenturesPrix et distinctionsNous contacterDécouvrez pourquoi Gartner a désigné Databricks comme leader pour la deuxième année consécutiveObtenir le rapportEssayer DatabricksRegarder les démosNous contacterLoginJUNE 26-29REGISTER NOWServices professionnels de DatabricksContactez-nous pour en savoir plusAssurez le succès rapide de vos projets grâce à une expertise de rang mondial en data engineering, en data science et en gestion de projet. Les services professionnels de Databricks vous accompagnent tout au long de votre parcours axé sur les données et l'IA :AvantagesAccélération de votre parcours données et IA Nos offres et services d'experts vous accompagnent dans votre parcours données et IA en vue d'une accélération optimale et sur-mesure. Nous intervenons de l'intégration initiale de votre workspace à la mise en place de pratiques DataOps et d'un centre d'excellence à l'échelle de l'entreprise. Éliminez les risques de votre projet Vous souhaitez migrer d'anciennes charges de travail vers Databricks, développer de nouveaux produits de données ou des projets de pipeline données et IA et machine learning ? Nous serions ravis de vous accompagner et de vous conseiller afin de minimiser les risques et de maximiser la valeur à chaque étape de votre parcours. Mettre en service à grande échelle La création d'un POC de pipeline de données ou d'un développement de modèle à nœud unique est relativement facile à gérer. Le défi réside dans l'adoption et la mise à l'échelle réussies des pratiques données et IA dans toute l'entreprise. Nous serions ravis de vous aider à atteindre cet objectif ambitieux grâce à notre expertise et nos offres normatives. Offres en coursAssurer le succès rapide des projets grâce à une expertise de rang mondial en data engineering, en data science et en gestion de projetLancement rapideAccélérez le planning de vos projets en vous familiarisant avec la plateforme Databricks et ses principales fonctionnalités qui appliquent les bonnes pratiques.Migration HadoopNotre approche normative maximise la valeur de vos investissements existants dans les données et les pipelines, tout en assurant une migration sereine.Développement de LakehouseAccélérez la mise en œuvre d'une plateforme simplifiée pour l'analytique de données, la data science et le ML, en établissant les bases de votre vision du lakehouse.Machine learningRenforcez vos initiatives de ML d'entreprise et leur adoption grâce à notre méthodologie prescriptive.Accélérateur de services partagésAccélérez votre modèle opérationnel à l'échelle de l'entreprise pour favoriser l'excellence données et IA grâce à notre méthodologie normative.Services sur mesureContactez-nous pour obtenir un cahier des charges sur-mesure répondant à vos besoins particuliers.Nos experts en services professionnels sont parvenus à réaliser des projets de cycle de vie complet afin de répondre à des exigences complexes, très spécifiques et ciblées.Architectes de solutions résidents | data scientistsDes ressources très expérimentées et techniques, avec de solides compétences en leadership et en conseil. Pour garantir votre réussite, nous exploitons notre vaste écosystème de partenaires et si nécessaire, nous assurons les prestations en commun avec eux.Experts Databricks et Spark10 ans d'expérience Solide expérience en Big Data Compétences de terrain en matière de mise en œuvre Planification et exécution de projetsAssister dans la conception et l'architecture Aider à adapter le projet aux capacités de la plateforme Contribuer au calendrier des projets et aux besoins en ressources Mise en œuvre et planification de la productionConcevoir des solutions évolutives Assister dans le développement de prototypes Répondre aux exigences d'intégration DevOps Assister dans la mise en œuvre d'un COE (centre d'excellence)Développer des normes et cadres communs Être disponible en tant que ressource pour plusieurs équipes Faciliter les interactions avec d'autres équipes Databricks RessourcesAperçu du programme de crédit SuccessFormulaire de demande d’échangeLa Databricks AcademyLe facteur humain est déterminant pour la réussite des clients. Grâce aux formations et aux certifications proposées par la Databricks Academy, vous apprendrez à maîtriser l’analytique de données avec l’équipe qui a lancé le projet de recherche Spark à l'université de Californie à Berkeley. Progressez plus rapidement avec la Databricks Academy.Gagnez en compétences dès maintenantPrêt à vous lancer ?Nous contacterProduitPlatform OverviewTarifsOpen Source TechEssayer DatabricksDémoProduitPlatform OverviewTarifsOpen Source TechEssayer DatabricksDémoLearn & SupportDocumentationGlossaryFORMATION ET CERTIFICATIONHelp CenterLegalCommunauté en ligneLearn & SupportDocumentationGlossaryFORMATION ET CERTIFICATIONHelp CenterLegalCommunauté en ligneSolutionsBy IndustriesServices professionnelsSolutionsBy IndustriesServices professionnelsEntrepriseNous connaîtreOffres d'emploi chez DatabricksDiversité et inclusionBlog de l'entrepriseNous contacterEntrepriseNous connaîtreOffres d'emploi chez DatabricksDiversité et inclusionBlog de l'entrepriseNous contacterDécouvrez les offres d'emploi chez Databrickspays/régionsEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Avis de confidentialité|Conditions d'utilisation|Vos choix de confidentialité|Vos droits de confidentialité en Californie

https://www.databricks.com/dataaisummit/speaker/madalina-tanasie/#

Madalina Tanasie - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingMadalina TanasieChief Technology Officer at CollibraBack to speakersAs Collibra’s Chief Technology Officer, Madalina oversees Software Engineering, Architecture, Production Engineering, Test Engineering and Security. With over 18 years of software engineering leadership experience, her expertise includes service oriented architecture, cloud-native distributed systems and product operations with a focus on engineering practices, scale and operational excellence.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.

https://www.databricks.com/dataaisummit/speaker/adriana-ispas/#

Adriana Ispas - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingAdriana IspasStaff Product Manager at DatabricksBack to speakersAdriana Ispas is a staff product manager at Databricks working on the Databricks Runtime and Databricks SQL. She holds a Ph.D. in Computer Science from ETH Zurich.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.

https://www.databricks.com/try-databricks?itm_data=DataLakehouse-HeroCTA-Trial

Try Databricks | DatabricksTry Databricks free Test-drive the full Databricks platform free for 14 days on your choice of AWS, Microsoft Azure or Google Cloud.Simplify data ingestion and automate ETLIngest data from hundreds of sources. Use a simple declarative approach to build data pipelines.Collaborate in your preferred languageCode in Python, R, Scala and SQL with coauthoring, automatic versioning, Git integrations and RBAC.12x better price/performance than cloud data warehousesSee why over 7,000 customers worldwide rely on Databricks for all their workloads from BI to AI.Create your Databricks account1/2First nameLast NameEmailCompanyTitlePhone (Optional)SelectCountryContinuePrivacy Notice (Updated)Terms of UseYour Privacy ChoicesYour California Privacy Rights

https://www.databricks.com/de/dataaisummit/?itm_data=menu-learn-dais23

Data and AI Summit 2023 - DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingGeneration AILarge Language Models (LLM) are taking AI mainstream. Join the premier event for the global data community to understand their potential and shape the future of your industry with data and AI. Register NowSan Francisco, Moscone CenterJune 26 - 29, 2023Featured SpeakersTop experts, researchers and open source contributors from Databricks and across the data and AI community will speak at Data + AI Summit. Whether you’re an engineering wizard, ML pro, SQL expert — or you want to learn how to build, train and deploy LLMs — you’ll be in good company. See all speakersDaniela RusDirector, MIT CSAIL; Professor of EECS, MITPercy LiangProfessor of Computer Science, StanfordNat FriedmanCreator of Copilot; Former CEO, GitHubMichael CarbinCo-founder, MosaicML; Professor of EECS, MITKasey UhlenhuthStaff Product Manager, DatabricksWassym BensaidSr. Vice President, Software Development, RivianEric SchmidtCo-Founder, Schmidt Futures; Former CEO and Chairman, GoogleAdi PolakData & AI Technologist, lakeFSAli GhodsiCo-founder and CEO, DatabricksManu SharmaCEO, LabelboxMatei ZahariaOriginal Creator of Apache Spark™ and MLflow; Chief Technologist, DatabricksLin QiaoCo-creator of PyTorch, Co-founder and CEO, FireworksSai RavuruSenior Manager of Data Science & Analytics, Jet BlueEmad MostaqueCEO, Stability.AIHarrison ChaseCreator of LangChainSatya NadellaChairman and CEO, Microsoft, Live Virtual GuestZaheera ValaniSenior Director of Engineering, DatabricksHannes MühleisenCreator of DuckDBBrooke WenigMachine Learning Practice Lead, DatabricksJitendra MalikComputer Vision Pioneer, Former Head of Facebook AI ResearchRobin SutaraField CTO, DatabricksLior GavishCEO and Co-founder, Monte Carlo DataDawn SongProfessor of EECS, UC BerkeleyReynold XinCo-founder and Chief Architect, DatabricksDaniela RusDirector, MIT CSAIL; Professor of EECS, MITPercy LiangProfessor of Computer Science, StanfordNat FriedmanCreator of Copilot; Former CEO, GitHubMichael CarbinCo-founder, MosaicML; Professor of EECS, MITKasey UhlenhuthStaff Product Manager, DatabricksWassym BensaidSr. Vice President, Software Development, RivianEric SchmidtCo-Founder, Schmidt Futures; Former CEO and Chairman, GoogleAdi PolakData & AI Technologist, lakeFSAli GhodsiCo-founder and CEO, DatabricksManu SharmaCEO, LabelboxMatei ZahariaOriginal Creator of Apache Spark™ and MLflow; Chief Technologist, DatabricksLin QiaoCo-creator of PyTorch, Co-founder and CEO, FireworksSai RavuruSenior Manager of Data Science & Analytics, Jet BlueEmad MostaqueCEO, Stability.AIHarrison ChaseCreator of LangChainSatya NadellaChairman and CEO, Microsoft, Live Virtual GuestZaheera ValaniSenior Director of Engineering, DatabricksHannes MühleisenCreator of DuckDBBrooke WenigMachine Learning Practice Lead, DatabricksJitendra MalikComputer Vision Pioneer, Former Head of Facebook AI ResearchRobin SutaraField CTO, DatabricksLior GavishCEO and Co-founder, Monte Carlo DataDawn SongProfessor of EECS, UC BerkeleyReynold XinCo-founder and Chief Architect, DatabricksDaniela RusDirector, MIT CSAIL; Professor of EECS, MITPercy LiangProfessor of Computer Science, StanfordNat FriedmanCreator of Copilot; Former CEO, GitHubMichael CarbinCo-founder, MosaicML; Professor of EECS, MITKasey UhlenhuthStaff Product Manager, DatabricksWassym BensaidSr. Vice President, Software Development, RivianEric SchmidtCo-Founder, Schmidt Futures; Former CEO and Chairman, GoogleWhy attend?Join thousands of data leaders, engineers, scientists and analysts to explore all things data, analytics and AI — and how these are unified on the lakehouse. Hear from the data teams who are transforming their industries. Learn how to build and apply LLMs to your business. Uplevel your skills with hands-on training and role-based certifications. Connect with data professionals from around the world and learn more about all Data + AI Summit has to offer. SessionsWith more than 250 sessions, Data + AI Summit has something for everyone. Choose from technical deep dives, hands-on training, lightning talks, industry sessions, and more. Explore sessionsTechnologyExplore the latest advances in leading open source projects and industry technologies like Apache Spark™, Delta Lake, MLflow, Dolly, PyTorch, dbt, Presto/Trino, DuckDB and much more. You’ll also get a first look at new products and features in the Databricks Lakehouse Platform. Browse catalogNetworkingConnect with thousands of data + AI community peers and grow your professional network in social meetups, on the expo floor, or at our event party. Learn moreChoose your experienceGet access to all the sessions, training, and special events live in San Francisco or join us virtually for the keynotes.RECOMMENDEDActivitiesIn Person EventVirtual EventKeynotesBreakout Sessions300+10Hands-on Training Courses for Data Engineering, Machine Learning, LLMs, and many onsite certificationsConnect with other data pros at “birds of a feather” meals, happy hours and special eventsLightning talks, AMAs and meetups on topics such as Apache Spark™, Delta Lake, MLflow and DollyAccess to 100+ leading data and AI companies in Dev Hub + ExpoIndustry Forums for Financial Services, Retail and Consumer Goods, Healthcare and Life Sciences, Communications, Media and Entertainment, Public Sector, and Manufacturing and EnergySee pricingTrusted by the data communityHear data practitioners from trusted companies all over the world See agendaDon’t miss this year’s event!Register nowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.

https://www.databricks.com/it/product/open-source

Open source | DatabricksSkip to main contentPiattaformaThe Databricks Lakehouse PlatformDelta LakeGovernance dei datiIngegneria dei datiStreaming di datiData warehouseCondivisione dei datiMachine LearningData SciencePrezziMarketplaceTecnologia open-sourceSecurity and Trust CenterWEBINAR 18 maggio / 8 AM PT Addio, Data Warehouse. Ciao, Lakehouse. Partecipa per capire come una data lakehouse si inserisce nel tuo stack di dati moderno. Registrati oraSoluzioniSoluzioni per settoreServizi finanziariSanità e bioscienzeIndustria manifatturieraComunicazioni, media e intrattenimentoSettore pubblicoretailVedi tutti i settoriSoluzioni per tipo di applicazioneAcceleratoriServizi professionaliAziende native digitaliMigrazione della piattaforma di dati9 maggio | 8am PT   Scopri la Lakehouse for Manufacturing Scopri come Corning sta prendendo decisioni critiche che riducono al minimo le ispezioni manuali, riducono i costi di spedizione e aumentano la soddisfazione dei clienti.Registrati oggi stessoFormazioneDocumentazioneFormazione e certificazioneDemoRisorseCommunity onlineUniversity AllianceEventiConvegno Dati + AIBlogLabsBeacons  26–29 giugno 2023 Partecipa di persona o sintonizzati per il live streaming del keynoteRegistratiClientiPartnerPartner cloudAWSAzureGoogle CloudPartner ConnectPartner per tecnologie e gestione dei datiProgramma Partner TecnologiciProgramma Data PartnerBuilt on Databricks Partner ProgramPartner di consulenza e SIProgramma partner consulenti e integratori (C&SI)Soluzioni dei partnerConnettiti con soluzioni validate dei nostri partner in pochi clic.RegistratiChi siamoLavorare in DatabricksIl nostro teamConsiglio direttivoBlog aziendaleSala stampaDatabricks VenturesPremi e riconoscimentiContattiScopri perché Gartner ha nominato Databricks fra le aziende leader per il secondo anno consecutivoRichiedi il reportProva DatabricksGuarda le demoContattiAccediJUNE 26-29REGISTER NOWOpen sourceGli ingegneri di Databricks sono i creatori di alcune delle tecnologie open-source per la gestione dei dati più utilizzate al mondoUnisciti a un meetupI nostri progetti open-source più notiApache Spark™Apache Spark è un motore unico per eseguire carichi di lavoro per ingegneria dei dati, data science e ML. Che cos'è Apache Spark? Spark e Databricks a confronto Visita spark.apache.org Delta LakeDelta Lake consente di costruire un'architettura lakehouse su sistemi di storage come AWS S3, ADLS, GCS e HDFS. Maggiori informazioni su Delta Lake Visita delta.io Dibattiti tecnici: Primi passi con Delta Lake MLFLOWMLflow gestisce il ciclo di vita ML, con sperimentazione, riproducibilità, implementazione e un registro centralizzato dei modelli. Managed MLflow su Databricks Visita mlflow.org Dibattiti tecnici: Gestire il ciclo di vita del ML RedashRedash consente a tutti di utilizzare SQL per esplorare, interrogare, visualizzare e condividere dati da sorgenti di piccola e grande entità. Visita Redash su GitHub Delta SharingDelta Sharing è il primo protocollo aperto per la condivisione sicura dei dati, che semplifica la condivisione con altre organizzazioni. Visita Delta Sharing Databricks supporta altre tecnologie open-source molto diffusetensorflowDatabricks supporta TensorFlow, una libreria per deep learning e calcolo generico su cluster TensorFlow su Databricks PyTorch™Facebook, creatore di PyTorch, e Databricks hanno collaborato alle integrazioni PyTorch su Databricks Keras™API di Deep Learning scritte in Python che girano su TensorFlow. Disponibili in Databricks Runtime per ML. Keras su Databricks RStudioUna suite open-source di strumenti per data science collaborativa che utilizza R ​ Programmazione R su Big Data scikit-learnPacchetto Python molto utilizzato per machine learning basato su NumPy, SciPy e Matplotlib​​ Scikit-learn su Databricks XGBoostLibreria software di regolarizzazione del gradiente per linguaggi come Python, R e C++XGBoost su DatabricksTerraformHashiCorp Terraform è uno strumento open-source molto diffuso per creare un'infrastruttura sicura e prevedibile su diversi provider di servizi cloud. Il provider Databricks Terraform consente ai clienti di gestire tutti i loro spazi di lavoro Databricks e il resto dell'infrastruttura con un unico strumento potente e flessibile. L'uso di Terraform porta inoltre i clienti ad adottare best practice con infrastruttura come codice (IaC)Terraform su DatabricksPronto per cominciare?Prova Databricks gratisProdottoPanoramica della piattaformaPrezziTecnologia open-sourceProva DatabricksDemoProdottoPanoramica della piattaformaPrezziTecnologia open-sourceProva DatabricksDemoFormazione e supportoDocumentazioneGlossaryFormazione e certificazioneHelp CenterLegaleCommunity onlineFormazione e supportoDocumentazioneGlossaryFormazione e certificazioneHelp CenterLegaleCommunity onlineSoluzioniPer settoreServizi professionaliSoluzioniPer settoreServizi professionaliChi siamoChi siamoLavorare in DatabricksDiversità e inclusioneBlog aziendaleContattiChi siamoChi siamoLavorare in DatabricksDiversità e inclusioneBlog aziendaleContattiPosizioni aperte in DatabricksMondoEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Informativa sulla privacy|Condizioni d'uso|Le vostre scelte sulla privacy|I vostri diritti di privacy in California

https://www.databricks.com/fr/try-databricks?itm_data=SiteWide-Footer-Trial

Essayer gratuitement Databricks | DatabricksEssayer gratuitement DatabricksExpérimentez pleinement la plateforme Databricks gratuitement pendant 14 jours, sur AWS, Microsoft Azure ou Google Cloud, au choix.Simplification de l'ingestion des données et automatisation de l’ETLImportez des données depuis des centaines de sources. Utilisez une approche déclarative simple pour créer des pipelines de données.Collaborez dans votre langage préféréCodez en Python, R, Scala et SQL. Bénéficiez du RBAC, d’intégrations avec Git et d’outils comme la rédaction collaborative et la gestion automatique des versions.Un rapport performance / prix jusqu'à 12 fois supérieur à celui des data warehousesDécouvrez pourquoi plus de 7 000 clients dans le monde s’appuient sur Databricks pour toutes leurs charges de travail de la BI à l’IA.Créez votre compte Databricks1/2PrénomNomE-mail professionnelEntrepriseIntitulé de posteNuméro de téléphone (facultatif)Veuillez sélectionnerPaysContinuerAvis de confidentialité (mis à jour)Conditions d'utilisationVos choix de confidentialitéVos droits de confidentialité en Californie

https://www.databricks.com/trust?itm_data=menu-item-securitytrustcenter

Security and Trust Center - DatabricksSkip to main contentPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWSecurity & Trust CenterYour data security is our priority    OverviewTrustSecurity FeaturesArchitectureCompliancePrivacyReport an IssueWe know that data is one of your most valuable assets and always has to be protected — that’s why security is built into every layer of the Databricks Lakehouse Platform. Our transparency enables you to meet your regulatory needs while taking advantage of our platform.Trusted PlatformTrust comes through transparency. See how we secure the platform through industry-leading practices including penetration testing, vulnerability management and secure software development to protect the Databricks Lakehouse Platform.Learn moreSecurity FeaturesWe provide comprehensive security capabilities to protect your data and workloads, such as encryption, network controls, auditing, identity integration, access controls and data governance.Learn moreComplianceCustomers all over the world and across industries rely on the Databricks Lakehouse Platform. We have the certifications and attestations to meet the unique compliance needs of highly regulated industries.Learn morePrivacyWe value the privacy of your data and understand that it is important to both your organization and your customers. Databricks can help you comply with privacy laws and meet regulatory requirements.Learn morePerform your own self-service security review of Databricks using our due diligence package, which includes documentation and compliance materials.Due Diligence PackageProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Privacy Notice|Terms of Use|Your Privacy Choices|Your California Privacy Rights

https://www.databricks.com/dataaisummit/speaker/keith-anderson/#

Keith Anderson - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingKeith AndersonSolution Principal at Hitachi SolutionsBack to speakersI am a Solution Principal with Hitachi Solutions (Azure & Databricks partner) working with customers on solving data & AI problems.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.

https://www.databricks.com/dataaisummit/why-attend/#

Why Attend - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingWhy AttendExplore everything Data + AI Summit has to offer — from the latest innovations and technologies to thought-provoking panel discussions to networking opportunities where you can connect with other data professionals in your industry.Register nowSession informationWith 10 amazing tracks and over 20 technologies to learn about, get the right experience for your level.   Data Lakehouse ArchitectureThe decisions you make about your core data architecture will affect the reliability, performance and utility of your data analytics, data science and machine learning. Increasingly, many organizations are adopting the data lakehouse to improve their data platform. Has the ability to more easily combine structured, unstructured and real-time data workloads created new opportunities for data teams? Has ACID reliability on data lakes simplified how data is used? In this track, get answers to these questions and find out how to adopt a data lakehouse, migrate from data lakes and data warehouses, and integrate lakehouses with other data platforms. Technologies/topic ideas: lakehouse architecture, Delta Lake, Photon, platform security and privacy, serverless, cost management, data warehouse, data lake, Apache Iceberg, Data Mesh Data GovernanceData governance, security and compliance are critical — they help guarantee that all data, BI and ML assets are maintained and managed securely across the enterprise and you’re compliant with regulatory frameworks. In this track, learn best practices, frameworks, processes, roles, policies and standards for data governance of structured and unstructured data across clouds. Technologies/topic ideas: data governance, multicloud, Unity Catalog, security, compliance, privacy Data SharingWhen enterprises can easily exchange data with their customers, partners, suppliers and internal lines of business, they can better collaborate, innovate and unlock value from that data. In this track, discover best practices for sharing data across data platforms and clouds, ways to avoid replication and lock-in, and how to distribute data products through marketplaces. Technologies/topic ideas: sharing and collaboration, Delta Sharing, data cleanliness, data cleanrooms, data marketplaces Data Engineering If you want to optimize data processing and reduce costs, this session is for you. You’ll learn how to use a combination of systems and processes to ingest, orchestrate and transform raw data for analytics and machine learning. Dive into best practices for data architectures, software engineering, ETL, data management, data quality, DataOps and orchestration. Technologies/topic ideas: data pipelines, orchestration, CDC, medallion architecture, Delta Live Tables, dbt, Databricks Workflows, ETL/ELT, DataOps, Parquet, Apache Spark internals Data Streaming Today’s organization needs to respond in real time as events unfold. In this track, learn how data streaming can help you drive faster decision-making, make more accurate predictions and improve customer experiences. Explore best practices for implementing real-time data pipelines with your favorite tools and languages, find out how to reduce complexity for real-time data workflows and eliminate silos to support all your real-time use cases. Technologies/topic ideas: Apache Spark Structured Streaming, real-time ingestion, real-time ETL, real-time ML, real-time analytics, real-time applications, Delta Live Tables DSML: Production ML/MLOpsOvercome the challenges of putting ML projects into production and operationalizing them at scale. In this track, you’ll find out how to scale ML in production and apply MLOps best practices across the end-to-end machine learning lifecycle.  Technologies/topic areas: MLOps, Feature Stores, organizational ML, MLflow, Model Serving and more DSML: ML Use Cases/TechnologiesMachine learning continues to disrupt industries and accelerate business outcomes across use cases and industries. In this track, discover how to apply ML to solve business challenges, explore technologies and best practices, and learn how to integrate data science with the rest of your organization.  Technologies/topic areas: PyTorch, TensorFlow, Keras, XGBoost, fast.ai, scikit-learn, Python and R ecosystems, deep learning, notebooks, LLMs and more Data Warehouses, BI and Visualization Data analytics is a vital component of business decision-making. In this track, find out how to build analytics pipelines and integrations and learn about tooling and infrastructure for SQL analytics, BI and visualization.   Technologies/topic ideas: ANSI SQL, Redash, Databricks SQL, Tableau, Power BI, visualization techniques, Spark SQL and DataFrames, data integration, data warehouse and analytics ResearchIn this track — dedicated to academic and advanced industrial research — explore large-scale data analytics and machine learning systems, the hardware that powers them (GPUs, I/O storage devices, etc.) and how these systems are applied to use cases like genomics, astronomy, image scanning, disease detection, vaccine research and more. Data StrategyChoosing a data lakehouse platform is only the first step in implementing your data strategy. Success requires a thoughtful approach to people and processes. In this track, you’ll find out how to align goals, identify the right use cases, organize and enable teams, mitigate risk and operate at scale so you can be even more successful with data, analytics and AI. Technologies/topic ideas: data management, data governance, strategy, data teams, data mesh, data democratization  Content tailored to your roleData + AI Summit has something for everyone — explore, learn and connect with us and the data, analytics and AI community.     Data EngineerIncrease efficiency, control costs and reduce data risks — all in a day’s work for today’s data engineer. Broaden your knowledge and expand your skills by learning from industry experts and your peers how to deliver high-quality, reliable data for every use case from BI to AI. Explore sessionsData ScientistSuddenly, AI is everywhere and that’s putting pressure on data scientists and ML engineers to quickly deliver results. Learn how lakehouse and tools like MLflow can accelerate productionization of models, increase productivity, reduce risk and increase ROI on new models. Explore sessionsData AnalystData analytics has moved beyond the warehouse. Join the global community of data analysts at Data + AI Summit and discover ways to support your stakeholders in making informed and timely decisions, achieve line of business KPIs and reduce rework risks. Explore sessionsIT Decision MakerData and AI are now mission critical for every business. Learn how the lakehouse architecture unifies data, analytics and AI on a single platform for better performance, lower TCO and faster innovation. Explore sessionsIndustry ExperiencesJoin and learn along with your industry peers in these specialized sessions focused on the unique challenges, use cases, and the data, analytics and AI requirements of your sector.   Financial ServicesLearn how to minimize risk, deliver superior customer experience and accelerate innovation on lakehouse. Download PDF Government and Public SectorLearn how lakehouse is helping to unlock the full potential of data to deliver mission objectives and better serve citizens. Download PDF Healthcare and Life SciencesLearn ways to accelerate research and improve patient outcomes on lakehouse. Download PDF ManufacturingLearn how the lakehouse helps optimize supply chains, boost product innovation, increase operational efficiencies, predict fulfillment needs and reduce overall costs. Download PDF Communications, Media & EntertainmentLearn ways to accelerate audience and advertiser outcomes — 360° view of audience, lower churn, increased ARPU — with lakehouse. Download PDF Retail and Consumer GoodsLearn how lakehouse is helping to harness the full power of data so retailers, suppliers and partners can collaborate across the value chain. Download PDF Don’t miss this year’s event!Register NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.

https://www.databricks.com/dataaisummit/speaker/cody-ferguson/#

Cody Ferguson - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingCody FergusonData & AI Management Branch Chief at Chief Digital and Artificial Intelligence Office - AdvanaBack to speakersCody is a proven leader in the data and analytics domain with experience in managing large technical teams on implementation of features that increase the ability for DoD to better utilize data to manage business and gain better insights for informed decision-making. Cody currently serves as the Data Operations Director for Advana, DoD's enterprise data and analytics platform within the Office of the Chief Digital and Artificial Intelligence Officer (OCDAO). In this role, he is responsible for large-scale data acquisition efforts through federation and integration of over 300 data sources, automation of data ingestion and governance processes to decrease overall time-to-insight for DoD analysts and data scientists, and scalable solutions for data architecture and management of all data assets on the Advana platform. Cody has 8 years of DoD experience which include assisting in the creation of executive analytics to enhance and inform senior leader decision-making in coordination with the Immediate Office of the Deputy Secretary of Defense, and leading the creation of budget analytics metrics that allow the Department to effectively utilize resources and align requirements to financial execution and outcomes. Prior to working in OSD, Cody was a Financial Management Trainee in the OPM Pathways program and a Financial Analyst, where he spent 5 years working in various positions within the Department of the Navy. Cody obtained a M.S. in Forensic Accounting from American University and received a B.S. in Business Administration from High Point UniversityLooking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.

https://www.databricks.com/it/try-databricks?itm_data=Homepage-HeroCTA-Trial

Prova Databricks gratis | DatabricksProva Databricks gratisProva la piattaforma Databricks completa per 14 giorni su AWS, Microsoft Azure o Google Cloud.Semplifica l’acquisizione dei dati e automatizza i processi ETLAcquisisci i dati da centinaia di sorgenti. Usa un semplice approccio dichiarativo per costruire le pipeline di dati.Collabora nella lingua che preferisciScrivi codice in Python, R, Scala e SQL con co-creazione, gestione automatica delle versioni, integrazioni Git e controllo degli accessi per ruoli (RBAC).Rapporto prezzo/prestazioni 12 volte migliore rispetto ai data warehouse in cloudScopri perché oltre 7.000 clienti in tutto il mondo si affidano a Databricks per tutti i loro carichi di lavoro, dalla BI all’AI.Crea il tuo account Databricks1/2NomeCognomeE-mail aziendaleAziendaTitolo professionaleTelefono (Optional)Si prega di selezionareNazioneContinuaInformativa sulla privacy (aggiornata)Condizioni d'usoLe vostre scelte sulla privacyI vostri diritti di privacy in California

https://www.databricks.com/dataaisummit/speaker/lior-gavish

Lior Gavish - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingLior GavishCTO and Co-founder at Monte Carlo DataBack to speakersLior Gavish is CTO and Co-Founder of Monte Carlo, a data reliability company backed by Accel, Redpoint Ventures, GGV, ICONIQ Growth, Salesforce Ventures, and IVP. Prior to Monte Carlo, Lior co-founded cybersecurity startup Sookasa, which was acquired by Barracuda in 2016. At Barracuda, Lior was SVP of Engineering, launching award-winning ML products for fraud prevention. Lior holds an MBA from Stanford and an MSC in Computer Science from Tel-Aviv University.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.

https://www.databricks.com/company/partners/consulting-and-si/candsi-partner-program

Partner page: Consulting and SI partners | DatabricksSkip to main contentPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWC&SI Partner ProgramThe Databricks Consulting and SI (C&SI) Partner Program is value-led, allowing us to partner better together to drive big outcomes.Apply nowJoin a global ecosystem of data and AI service providers that are transforming our joint customers into data-driven enterprises. As a partner, you’ll play a critical role in driving:Sales impact Engage with our field teams to sell the lakehouse vision and expand the Databricks footprint.Customer value Train your team on the platform to build your practice’s capacity and capability.Innovation Showcase your expertise by developing repeatable solutions that tackle high-impact client use cases.Unlock benefits across engagement and enablement so you can grow your practice and build a successful partnership:Databricks Technical TrainingDatabricks Lakehouse Platform AccessTechnical and Sales SupportOpportunity Registration and Referral FeesCustomer Investment FundsGo-to-Market Enablement and ResourcesReady to get started?Apply nowFind a partnerProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Privacy Notice|Terms of Use|Your Privacy Choices|Your California Privacy Rights

https://www.databricks.com/dataaisummit/speaker/lee-yang

Lee Yang - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingLee YangSr. Principal SW Engineer at NVIDIABack to speakersLee Yang is a Sr. Principal Software Engineer at NVIDIA, working on integrating deep learning with Apache Spark. Before that, at Yahoo, he created and open-sourced TensorFlowOnSpark, a framework for large-scale, distributed TensorFlow training and inference using Spark.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.

https://www.databricks.com/product/marketplace

Databricks Marketplace | DatabricksSkip to main contentPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWDatabricks MarketplaceOpen marketplace for data, analytics and AIGet startedTo play this video, click here and accept cookiesWhat is Databricks Marketplace? Databricks Marketplace is an open marketplace for all your data, analytics and AI, powered by open source Delta Sharing standard. The Databricks Marketplace expands your opportunity to deliver innovation, and advance all your analytics and AI initiatives.  Obtain data sets as well as AI and analytics assets — such as ML models, notebooks, applications and dashboards — without proprietary platform dependencies, complicated ETL or expensive replication. This open approach allows you to put data to work more quickly in every cloud with your tools of choice.Discover more than just dataUnlock innovation and advance your organization’s AI, ML and analytics initiatives. Access more than just data sets, including ML models, notebooks, applications and solutions.Evaluate data products fasterPrebuilt notebooks and sample data help you quickly evaluate and have much greater confidence that a data product is right for your AI, ML or analytics initiatives.Avoid vendor lock-inSubstantially reduce the time to deliver insights and avoid lock-in with open and seamless sharing and collaboration across clouds, regions or platforms. Directly integrate with your tools of choice and right where you work.Featured data providers on Databricks MarketplaceBecome a data provider on the marketplace ResourcesEventRegister now for Data + AI Summit 2023RegistereBookA New Approach to Data SharingRead noweBookData, Analytics and AI GovernanceRead nowKeynoteData Governance and Sharing on the Lakehouse at Data + AI Summit 2022 BlogsMarketplace Public Preview AnnouncementDatabricks Marketplace Announcement at Data + AI Summit 2022DocumentationAWSAzureGCPProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Privacy Notice|Terms of Use|Your Privacy Choices|Your California Privacy Rights

https://www.databricks.com/dataaisummit/speaker/zachary-bannor

Zachary Bannor - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingZachary BannorData Engineering Manager at Condé NastBack to speakersDr. Zachary R. Bannor, PharmD, is a data engineering manager at Condé Nast. His team works to de-silo data and to build robust data pipelines to provide valuable datasets to stakeholders across myriad business verticals. He lives in Chicago with his wife, Nicole, and cats, Stuart and Samantha. His interests include cooking, cycling, weight lifting, and playing with his band, Five Step Drop.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.

https://www.databricks.com/dataaisummit/speaker/sridhar-devarapalli/#

Sridhar Devarapalli - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingSridhar DevarapalliSenior Director, Product Management at DatabricksBack to speakersLooking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.

https://www.databricks.com/p/webinar/learn-databricks-sql-from-the-experts

Learn Databricks SQL From the Experts | DatabricksOn-DemandLearn Databricks SQL From the ExpertsUplevel your data skillsAvailable on-demandWatch this free training to learn how Databricks SQL allows you to operate a multicloud lakehouse architecture that delivers data warehouse performance at data lake economics — with up to 12x better price/performance than traditional cloud data warehouses. Now data analysts and scientists can work with the freshest and most complete data and quickly derive new insights for accurate decision-making.In this webinar, you’ll learn how to:Quickly get up and running with Databricks SQLUse Databricks SQL to profile and explore your dataEasily ingest and transform data in Databricks SQLGo from data to insights faster with Databricks SQL’s built-in visualization and dashboarding toolsLive Q&ASpeakersDoug BatemanMaster InstructorDatabricksWatch NowProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Privacy Notice|Terms of Use|Your Privacy Choices|Your California Privacy Rights

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데이터 레이크하우스 아키텍처 및 AI 기업 - DatabricksSkip to main content플랫폼Databricks 레이크하우스 플랫폼Delta Lake데이터 거버넌스데이터 엔지니어링데이터 스트리밍데이터 웨어하우징데이터 공유머신 러닝데이터 사이언스가격Marketplace오픈 소스 기술보안 및 신뢰 센터웨비나 5월 18일 / 오전 8시(태평양 표준시) 안녕, 데이터 웨어하우스. 안녕하세요, 레이크하우스입니다. 데이터 레이크하우스가 최신 데이터 스택에 어떻게 부합하는지 이해하려면 참석하십시오. 지금 등록하세요솔루션산업별 솔루션금융 서비스의료 서비스 및 생명 공학제조커뮤니케이션, 미디어 및 엔터테인먼트공공 부문리테일모든 산업 보기사용 사례별 솔루션솔루션 액셀러레이터프로페셔널 서비스디지털 네이티브 비즈니스데이터 플랫폼 마이그레이션5월 9일 | 오전 8시(태평양 표준시)   제조업을 위한 레이크하우스 살펴보기 코닝이 수동 검사를 최소화하고 운송 비용을 절감하며 고객 만족도를 높이는 중요한 결정을 내리는 방법을 들어보십시오.지금 등록하세요학습관련 문서교육 및 인증데모리소스온라인 커뮤니티University Alliance이벤트Data + AI Summit블로그LabsBeacons2023년 6월 26일~29일 직접 참석하거나 키노트 라이브스트림을 시청하세요.지금 등록하기고객파트너클라우드 파트너AWSAzureGoogle CloudPartner Connect기술 및 데이터 파트너기술 파트너 프로그램데이터 파트너 프로그램Built on Databricks Partner Program컨설팅 & SI 파트너C&SI 파트너 프로그램파트너 솔루션클릭 몇 번만으로 검증된 파트너 솔루션과 연결됩니다.자세히회사Databricks 채용Databricks 팀이사회회사 블로그보도 자료Databricks 벤처수상 실적문의처Gartner가 Databricks를 2년 연속 리더로 선정한 이유 알아보기보고서 받기Databricks 이용해 보기데모 보기문의처로그인JUNE 26-29REGISTER NOW최고의 데이터 웨어하우스 레이크하우스입니다모든 데이터, 분석 및 AI를 하나의 플랫폼에무료로 시작하기자세히레이크하우스 플랫폼으로 비용 절감 및 혁신 가속화자세히통합형하나의 플랫폼으로 데이터를 일관되게 관리하고 모든 분석과 AI를 지원합니다.오픈개방형 표준을 기반으로 구축되고 모든 클라우드와 통합되어 현대적 데이터 스택에서 원활하게 작동합니다.확장성간단한 데이터 파이프라인부터 대규모 LLM에 이르기까지 모든 워크로드에 맞게 효율적으로 확장합니다.레이크하우스를 선택한 데이터 기반 기업 모든 고객 보기 데이터 팀을 통합해주는 레이크하우스데이터 관리와 엔지니어링데이터 수집과 관리 간소화Delta Lake를 이용하면 자동화되고 안정적인 ETL, 안전한 오픈형 데이터 공유, 초고속 성능을 기반으로 데이터 레이크에 있는 정형, 반정형, 비정형 데이터를 쉽게 변환하여 목적지로 보낼 수 있습니다.자세히 알아보기 데모 보기데이터 웨어하우징가장 완전한 데이터에서 새로운 인사이트 도출최신 버전의 가장 완전한 데이터에 즉 액세스할 수 있고 강력한 Databricks SQL을 이용해 (기존 클라우드 데이터 웨어하우스 대비 가격/성능 면에서 최대 12배 우월) 데이터 애널리스트와 데이터 사이언티스트가 새로운 인사이트를 신속하게 도출할 수 있습니다.자세히 알아보기 데모 보기데이터 사이언스와 머신 러닝수명 주기 전체에 걸쳐 ML 속도 가속Databricks 머신 러닝의 기본 토대는 레이크하우스입니다. 이것은 피처 엔지니어링부터 프로덕션까지 머신 러닝의 수명 주기 전체에 적합한 데이터 네이티브, 협업형 솔루션입니다. 레이크하우스는 양질의 고도로 성능이 우수한 데이터 파이프라인과 함께 사용하면 머신 러닝 속도를 빠르게 하고 팀 생산성을 높여줍니다.자세히 알아보기 데모 보기데이터 거버넌스 및 공유데이터 분석 및 AI를 위한 거버넌스 및 공유 통합Databricks를 통해 어떠한 클라우드의 레이크하우스에서든 모든 데이터 분석, AI 애셋을 위한 일반적인 보안 및 거버넌스 모델을 얻을 수 있습니다. 또한 오픈 마켓플레이스를 통한 데이터 제품 배포와 더불어 복제나 종속 없이 데이터 플랫폼, 클라우드 또는 지역에 걸쳐 데이터를 탐색하고 공유할 수 있습니다.자세히 알아보기 데모 보기데이터 웨어하우스의 시대는 갔습니다. 왜 레이크하우스가 데이터와 AI를 위한 최신 아키텍처인지 그 이유를 알아보세요.레이크하우스 알아보기세션 카탈로그 공개레이크하우스 에코시스템과 오픈 소스 기술의 발전을 만나볼 수 있는 샌프란시스코로 여러분을 초대합니다.지금 등록하기Gartner가 Databricks를 2년 연속 리더로 선정한 이유를 알아보세요.보고서 받기600명의 CIO. 14개 산업. 18개 국가.이 새로운 조사에서 데이터 전략이 AI의 성공에 중요하다는 것을 알았습니다. 더 많은 CIO의 견해를 확인하세요.보고서 받기보다 효과적인 MLOps 방법을 찾는 ML 엔지니어와 데이터 사이언티스트가 읽어야 할 자료eBook 다운로드시작할 준비가 되셨나요?Databricks 무료로 시작하기제품플랫폼 개요가격오픈 소스 기술Databricks 이용해 보기데모제품플랫폼 개요가격오픈 소스 기술Databricks 이용해 보기데모학습 및 지원관련 문서용어집교육 및 인증헬프 센터법적 고지온라인 커뮤니티학습 및 지원관련 문서용어집교육 및 인증헬프 센터법적 고지온라인 커뮤니티솔루션산업 기준프로페셔널 서비스솔루션산업 기준프로페셔널 서비스회사Databricks 소개Databricks 채용다양성 및 포용성회사 블로그문의처회사Databricks 소개Databricks 채용다양성 및 포용성회사 블로그문의처Databricks 채용 확인하기WorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark 및 Spark 로고는 Apache Software Foundation의 상표입니다.개인 정보 보호 고지|이용약관|귀하의 개인 정보 선택|귀하의 캘리포니아 프라이버시 권리

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Faraz Yasrobi - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFaraz YasrobiSoftware Engineer at GrammarlyBack to speakersFaraz Yasrobi s a software engineer with over 7 years of experience in the data domain. Specializing in data infrastructure, engineering, storage, governance, and security. Faraz is currently a tech lead in Grammarly’s data platform team and has been leading the data democratization project over the past two years.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.