aisquared/dais-2023 huggingface dataset:
Amine Benhamza - 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 ExperiencePricingAmine BenhamzaLead Solutions Architect at DatabricksBack to speakersAmine is a Sr. Solutions Architect specializing in Cloud, Data & AI, Migrations, and Enterprise Architecture. He has a significant experience and skills in: 
- Designing Cloud-Native Enterprise Architecture for SMBs and Fortune 500 Companies
- Building & Lead Cross-Functional SME teams
- Collaborating with Marketing and GTM teams to evangelize cloud-native technology to customers & partnersLooking 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.
Ryan Boyd - 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 ExperiencePricingRyan BoydCo-founder at MotherDuckBack to speakersRyan Boyd (LinkedIn) is a Boulder-based software engineer, data + authNZ geek and technology executive. He's currently a co-founder at MotherDuck, where they're making data analytics fun, frictionless and ducking awesome. He previously led developer relations teams at Databricks, Neo4j and Google Cloud. He's the author of O'Reilly's Getting Started with OAuth 2.0.Ryan advises B2B SaaS startups on growth marketing and developer relations as a Partner at Hypergrowth Partners. Prior to leading the Google Cloud Developer Relations team, he spent 7 years at Google working on 20+ different developer products and was the co-founder of Google Code Labs which aimed to improve quality and stability of Google's developer products.Ryan graduated with a degree in Computer Science from Rochester Institute of Technology (RIT) where he later worked full-time building web applications + APIs and architecting the central web hosting platform.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.
Sneh Kakileti - 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 ExperiencePricingSneh KakiletiVice President, Product Management at ZoomInfoBack 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.
Taylor Hosbach - 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 ExperiencePricingTaylor HosbachData Scientist at DIRECTVBack to speakersTaylor Hosbach is a Data Scientist at DIRECTV. He joins DIRECTV from Hopper and Epic where he utilized machine learning and advanced analytics to deliver actionable insights that improve business operations. He also has experience managing teams and working cross-functionally with the business to drive impact and opportunities for implementing Data Science solutions. Taylor holds an M.S. in Data Science from The University of Texas at Austin and a B.S. from Lehigh 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.
Hao Zhu - 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 ExperiencePricingHao ZhuSenior Manager at NVIDIABack to speakersHao Zhu is senior manager, accelerated Spark applications at NVIDIA. Hao and his team mainly cover customer engagement and application development for RAPIDS Accelerator for Apache Spark. Hao is experienced in Hadoop, database, massively parallel processing query engines, etc.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.
Performance-Tuning Best Practices on the Lakehouse | DatabricksWebinarPerformance-Tuning Best Practices on the LakehouseInside the life of a queryHave you heard all the buzz about the lakehouse, and are you wondering what happens under the hood? How does data come in, how do you lay out and refine it for best query performance, how do you run queries, what happens during query execution and how do you optimize for world-class performance and results?Join this webinar to discover the life of a query on Databricks SQL. This webinar includes demos, live Q&As and lessons learned in the field so you can dive in and find out how to harness all the power of the Lakehouse Platform.In this webinar, you’ll learn how to:Quickly and easily ingest business-critical data into your lakehouse and continuously refine data with optimized Delta tables for best performance — no tuning requiredWrite, share and reuse queries with a native first-class SQL development experience on Databricks SQL — and unlock maximum productivityGet full transparency and visibility into query execution with an in-depth breakdown of operation-level details so you can dive inSpeakersFranco PatanoSr. Solutions ArchitectDatabricksLucas CerdanSr. Product ManagerDatabricksWatch 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
Deliver Real-Time Retail Insights | DatabricksOn-DemandDeliver Real-Time Retail InsightsJoin us to learn how to remove common barriers to profitabilityAvailable on-demandRetailers get into trouble when they make decisions ahead of the information. But business is moving faster than ever, and traditional data platforms — such as data warehouses — weren’t designed to operate in real time.Join us to learn how the Databricks Lakehouse for Retail is helping customers like Reckitt address these architectural challenges. You’ll find out how to modernize your data and AI capabilities in ways that drive real-time decisions and enhance customer experiences.You’ll discover:Why retailers are under so much pressure to make faster decisionsHow these pressures may dictate your choice of data architectureHow Reckitt standardized on the Lakehouse for Retail to deliver insights at scaleWhat useful real-time analytics look like in actionSpeakersBryan SmithIndustry Solutions DirectorDatabricksSergiy TkachukData Science ManagerReckittSaurabh ShuklaSpecialist Solutions ArchitectDatabricksWatch 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
Rise Of The Data Lakehouse by Bill Inmon






















































Thumbnails


Document Outline


Attachments


Layers







Current Outline Item






















Previous



Next





Highlight All

Match Case



Match
Diacritics

Whole Words









Color



Size







Color



Thickness



Opacity







Presentation Mode


Open


Print


Download


Current View



Go to First Page


Go to Last Page



Rotate Clockwise


Rotate Counterclockwise




Text Selection Tool


Hand Tool





Page Scrolling


Vertical Scrolling


Horizontal Scrolling


Wrapped Scrolling





No Spreads


Odd Spreads


Even Spreads




Document Properties…








Toggle Sidebar



Find



Previous



Next







Presentation Mode


Open


Print


Download


Current View




FreeText Annotation


Ink Annotation




Tools





Zoom Out



Zoom In





Automatic Zoom
Actual Size

Page Fit
Page Width


50%

75%

100%

125%

150%

200%

300%

400%




















More Information


Less Information




Close









Enter the password to open this PDF
file:





Cancel
OK




File name:
-


File size:
-



Title:
-


Author:
-


Subject:
-


Keywords:
-


Creation Date:
-


Modification Date:
-


Creator:
-



PDF Producer:
-


PDF Version:
-


Page Count:
-


Page Size:
-



Fast Web View:
-


Close




Preparing document for printing…



0%


Cancel
Driving Innovation and Transformation in the Federal Government With Data + AI | DatabrickseBookDrive innovation in government with Data + AIThe opportunity for the federal government to leverage data analytics and AI cannot be overstated. With access to some of the largest current and historical data sets available for the United States — and with vast personnel resources and some of the best private sector use cases and applications of AI available in the world — the U.S. federal government has the ability to transform the efficiency and effectiveness of many of its agencies.In this eBook, you will learn:What opportunities are available for data and machine learning within the public sectorWhy a lakehouse approach can help with some of the biggest challenges facing federal agenciesHow the U.S. Citizenship and Immigration Services achieved a 24x performance gain in data processingGet the eBookProductPlatform 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
Amir Skovronik - 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 ExperiencePricingAmir SkovronikDistinguished Software Engineer at AkamaiBack to speakersAmir is a distinguished engineer at Akamai with more than 10 years of experience in big data systems, and today functions as the technical leader of Asgard, the Akamai cloud base data warehouseLooking 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.
Saad Ansari - 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 ExperiencePricingSaad AnsariSenior Staff Product Manager at DatabricksBack to speakersSaad is a product manager at Databricks working on the Developer Ecosystem. Prior to this he was CTO and co-founder at Connecterra using Artificial Intelligence to improve sustainability, productivity and animal welfare in the Dairy Industry (think Fitbit for cows!). Saad has also worked as a PM and Developer at Microsoft. He holds a masters in computer science from Stanford.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.
Alexander Vanadio - 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 ExperiencePricingAlexander VanadioPrincipal Consultant at OptivBack to speakersAlex has studied Computer Science at the University of Maryland, College Park. He has been doing some combination of software engineering, data engineering, and ML engineering for over 15 years. Most recently, he has been working on PB scale streaming workloads for a Fortune 500 company.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.
Hari Rajaram - 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 ExperiencePricingHari RajaramSr Director / Principal Data Architect at ProcoreBack to speakersHari is an accomplished technologist leader with more than two decades of experience in the data field. In addition, he is a tech enabler who has designed several technical architecture solutions for start-ups to enterprise.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.
Ruifeng Zheng - 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 ExperiencePricingRuifeng ZhengSenior Software Engineer at DatabricksBack to speakersRuifeng is currently a Databricks software engineer, Apache Spark committer, working on several different modules in Apache Spark including Spark Connect, Pandas API on Spark, PySpark, MLlib, Spark SQL, SparkR, etc. Prior to Databricks, he worked on applied machine learning for 10+ years. He holds a Master degree in Electronics Engineering from Peking 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.
Tony Wang - 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 ExperiencePricingTony WangPhD student at StanfordBack to speakersTony Wang is a PhD student at Stanford University working on an open-source query engine in Python: https://github.com/marsupialtail/quokka, for emerging data applications like vector embeddings and feature 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.
Christian Acuña - 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 ExperiencePricingChristian AcuñaSenior Data Engineer at GrammarlyBack 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.
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: 7c5c2edc4a093888
•

      Your IP:
      Click to reveal
2601:147:4700:3180:15eb:de93:22f5:f511
•

Performance & security by Cloudflare
Apache Spark™의 창립자가 세운 Databricks 소개Skip 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 NOWDatabricks는 레이크하우스 기업입니다Databricks는 학계와 오픈 소스 커뮤니티에 기반을 둔 기업으로, 지난 2013년 Apache Spark™, Delta Lake와 MLflow를 개발한 주역들이 모여 창업했습니다. Databricks는 세계 최초이자 유일한 클라우드 레이크하우스 플랫폼으로서, 데이터 웨어하우스와 데이터 레이크의 가장 좋은 점만 모아 데이터와 AI를 위한 통합형 오픈 플랫폼을 제공합니다.
 레이크하우스 플랫폼 둘러보기요즘은 전 세계 7,000여 기업에서(ABN AMRO, Condé Nast, Regeneron과 Shell 등이 대표적) 대규모 데이터 엔지니어링, 협업형 데이터 사이언스, 전체 수명 주기 머신 러닝과 비즈니스 분석 등을 Databricks에 믿고 맡기고 있습니다.
Databricks는 샌프란시스코에 본사를 두고 세계 각지에 지사를 운영하며 Microsoft, Amazon, Tableau, Informatica, Cap Gemini 및 Booz Allen Hamilton을 위시한 수백 곳의 글로벌 파트너와 협력하고 있으며, 데이터와 AI를 간소화, 민주화(democratize)하고 데이터 팀에서 전 세계의 어렵기로 손꼽히는 문제를 해결하도록 돕는 것이 사명입니다.고객 사례 둘러보기파트너 보기고객 소개모든 고객 보기
리더십 소개경영진경영진 소개창업자창업자 소개이사회이사진 소개투자자제품플랫폼 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
Thomas La Piana - 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 ExperiencePricingThomas La PianaSenior Software Engineer at EthycaBack to speakersThomas La Piana is a data engineer turned product engineer with experience building out modern data stacks across multiple startups. Thomas joined Ethyca in 2021 to help create data privacy tools that engineers might actually want to use and shift the consideration of data privacy left.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.
Pakshal Kumar H Dhelaria - 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 ExperiencePricingPakshal Kumar H DhelariaSenior Software Engineer 1 at CitrixBack to speakersA strong leader with an overall experience of 6+ years solving critical problems in the industry and passionate about innovative architecture/solutions. Expertise in Kafka, Apache Spark, Streaming, Spring, Spring Boot Framework Interested in Machine learning and NLP. Worked on RDBMS (MySQL, Postgres,), Time-Series DB(Druid). Extensively using Functional/Reactive Programming, Java, NodeJS.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.
Migration Guide: Hadoop to Databricks






















































Thumbnails


Document Outline


Attachments


Layers







Current Outline Item






















Previous



Next





Highlight All

Match Case



Match
Diacritics

Whole Words









Color



Size







Color



Thickness



Opacity







Presentation Mode


Open


Print


Download


Current View



Go to First Page


Go to Last Page



Rotate Clockwise


Rotate Counterclockwise




Text Selection Tool


Hand Tool





Page Scrolling


Vertical Scrolling


Horizontal Scrolling


Wrapped Scrolling





No Spreads


Odd Spreads


Even Spreads




Document Properties…








Toggle Sidebar



Find



Previous



Next







Presentation Mode


Open


Print


Download


Current View




FreeText Annotation


Ink Annotation




Tools





Zoom Out



Zoom In





Automatic Zoom
Actual Size

Page Fit
Page Width


50%

75%

100%

125%

150%

200%

300%

400%




















More Information


Less Information




Close









Enter the password to open this PDF
file:





Cancel
OK




File name:
-


File size:
-



Title:
-


Author:
-


Subject:
-


Keywords:
-


Creation Date:
-


Modification Date:
-


Creator:
-



PDF Producer:
-


PDF Version:
-


Page Count:
-


Page Size:
-



Fast Web View:
-


Close




Preparing document for printing…



0%


Cancel
導入事例 | 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 NOWDatabricks のお客様Databricks のレイクハウスプラットフォームは、あらゆる業界の革新的なお客さまの成功を支えています注目のストーリー


導入事例

日本経済新聞社、パーソナライズド・レコメンデーションにDatabricks Lakehouseを採用

デジタルテクノロジーを駆使するメディアを目指ざす日本経済新聞社は、AI をはじめとするテクノロジーを活用した報道手法やサービスの開発に取り組んでいます。

もっと読む


導入事例

AGC：Databricks レイクハウスの導入でデータ分析基盤を強化
世界トップクラスの総合素材メーカー AGC 株式会社は、ガラス、フッ素樹脂、セラミックス、電子、ライフサイエンスなど、さまざまな領域における新たな価値の創造に挑戦しています。

もっと読む


導入事例

カルビー：Azure Databricks でファンマーケティングを強化
スナックメーカー大手のカルビーは、常に新しい発想で新製品の開発に臨み、日本はもとより世界中で愛される商品を提供しています。カルビーではマーケティング DX を推進しており、その一環として、Azure Databricks を活用したファンマーケティングに注力しています。

もっと読む


導入事例

CCC Marketing Group：Databricks で顧客プロファイリング分析を効率化
CCC マーケティンググループは、Databricks のレイクハウスプラットフォームを導入し、顧客プロファイリングのための高度な分析を加速させると同時に、時間とコストの大幅な削減に成功しています。

もっと読む


導入事例

Aucnet：AI 駆動型価格査定プロセスをレイクハウスで効率化
オークション流通支援サービス大手のオークネット（Aucnet）は、中古車、デジタル機器、医療機器など、さまざまな商品のオンラインオークションサービスを事業者向けに提供しています。

もっと読む


導入事例

リアルなデータ解析と革新的なデジタルマーケティングを加速させる
田辺三菱製薬株式会社では、Databricks の導入により、リアルワールドデータ分析およびデジタルマーケティングの革新を実現しています。

もっと読むすべてのお客様を見るデータチームにパワーをデータチームはちからをあわせて世界中の難題の解決に挑んでいます。詳細はこちら →ご相談・お問い合わせご相談・お問い合わせ関連リソース導入事例Databricks によって、コンデナストがパーソナライズされたコンテンツを顧客に配信する方法をご覧ください。詳しく見る導入事例Apple と Disney+ におけるデータ分析と AI の統合詳しく見る導入事例健康の公平性におけるデータと AI の役割：ヒューマナ（Humana） 社シニア VP 兼最高データ・分析責任者の Slawek Kierner 氏による講演視聴する無料お試し・その他ご相談を承ります無料トライアルご相談・お問い合わせ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
Databricks 기술 파트너 - 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 NOWDatabricks 기술 파트너Databricks 기술 파트너와 연결하고, 데이터 수집, 비즈니스 인텔리전스, 거버넌스 기능을 Databricks 레이크하우스 플랫폼과 통합하세요.“Databricks와 Fivetran을 사용한 덕분에 앞으로 마케팅 인사이트를 상당히 개선할 수 있게 되었습니다. 기술적 관점에서 이 두 가지 도구는 서로 조화롭게 작동하며, 통합이 매우 자연스럽게 느껴집니다.”— Jan-Niklas Mühlenbrock, Paul Hewitt 비즈니스 인텔리전스 및 ERP 팀 리더Databricks 기술 파트너는 자사 솔루션을 Databricks와 통합하여 ETL, 데이터 수집, 비즈니스 인텔리전스, 머신 러닝과 거버넌스 등에 보완적인 기능을 제공합니다.고객은 이러한 통합을 통해 Databricks 레이크하우스 플랫폼의 안정성과 확장성을 활용하여 귀중한 데이터 인사이트를 얻는 동시에 혁신 속도를 높일 수 있습니다.Partner Connect모든 데이터, 분석 및 AI 도구를 단일한 오픈 플랫폼에 통합하세요. Databricks는 Partner Connect를 통해 검증된 통합 환경에서 기존의 도구를 레이크하우스에 빠르고 쉽게 연결하는 수단을 제공하며, 새로운 솔루션을 발견하고 체험해볼 수 있도록 지원합니다.파트너 되기자세히Loading...제품플랫폼 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
Dan Houston - 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 ExperiencePricingDan HoustonManager, Data Science and Exploration Advanced Analytics at USPSBack 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.
Taking ESG From Buzzword to Reality With Data Analytics and AI | DatabrickseBookTaking ESG From Buzzword to Reality With Data Analytics and AIUnlike with financial statements, there are no generally accepted principles for how ESG metrics are disclosed by companies. As a result, it has become nearly impossible today for investors, partners and the public to independently measure and verify how companies are progressing toward their sustainability goals at scale.This eBook walks you through how data analytics and AI can help organizations process vast amounts of ESG data — often unstructured data — to make smarter investment decisions.Download the eBook to:Understand how to apply advanced analytics to ESG dataLearn about preparing ESG data for insights at scaleSee how Databricks enables a data-driven approach to ESG for sustainabilityGet the eBookProductPlatform 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
Chris Inkpen - 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 ExperiencePricingChris InkpenSolutions architect at HoneywellBack to speakersChris Inkpen has written software now since 1987. He has a PhD in Knowledge modeling from Brighton University in the UK. He is currently working within Honeywell Building Technologies as a technical evangelist and data engineer specialist helping the scrum teams design and develop solutions using the most appropriate technological solutions.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.
Jacek Laskowski - 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 ExperiencePricingJacek LaskowskiIT Freelancer at japila.plBack to speakersI’m Jacek Laskowski, an IT freelancer specializing in Apache Spark, Delta Lake, Databricks and Apache Kafka (incl. Kafka Streams and ksqlDB) (with brief forays into a wider data engineering space, e.g. Trino, Dask and dbt, mostly during Warsaw Data Engineering meetups). He is best known by The Internals Of online books at https://books.japila.pl.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.
Databricks の無料トライアル | DatabricksDatabricks の無料トライアルDatabricks プラットフォームの全機能を 14 日間無料でお試しいただけます。AWS、Microsoft Azure、Google Cloud のいずれかをお選びください。データの取り込みをシンプルに、ETL を自動化数百におよぶソースからのデータの取り込みと、シンプルな宣言型アプローチによるデータパイプラインの構築を可能にします。任意の言語でコラボレーションを促進Python、R、Scala、SQL によるコーディングが可能です。共同編集、自動バージョン管理、Git 統合、RBAC も利用できます。クラウドデータウェアハウスの 12 倍の価格性能Databricks は、世界 7000 社以上のお客様に採用され、BI や AI のあらゆるワークロードをサポートしています。Databricks アカウントを作成する1/2お名前（姓)お名前（名)業務用メールアドレス企業／団体名役職名電話番号（任意)選択してください国名送信プライバシー通知 (更新)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
Maciej Szpakowski - 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 ExperiencePricingMaciej SzpakowskiCo-founder at ProphecyBack to speakersMaciej is the co-founder @ Prophecy, where he's building the first low-code data engineering platform. Having previously built a startup making medical research accessible through ML/Spark, he dreams of a world where data is not feared but leveraged.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.
Jordan Donmoyer - 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 ExperiencePricingJordan DonmoyerManager, Customer Data Solutions at The Hershey CompanyBack to speakersJordan leads the Customer Data Solutions team at The Hershey Company, and in his role, he partners with key strategic
Category Management teams and retailer commercial data partners to develop and manage the multi-year strategic plans to enable and unlock organizational topline growth for Hershey. Jordan also partners with internal IS teams to drive the development of strategic policies impacting data sharing, maintaining data literacy, and cataloging key strategic retailer data. Jordan brings over 6 years of supply chain, logistics, reporting & analytics, and leadership/management experience to his role within the Commercial Data team. Jordan currently resides with his family in Fayetteville, Arkansas, but was born and raised in Lititz, Pennsylvania, just forty minutes outside of Hershey, PA. He played baseball at Pennsylvania State University where he graduated with a Bachelor’s in Supply Chain and Information Systems and a minor in Information Systems Management.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.
Big Book of Data Engineering Use Cases | Databricks






















































Thumbnails


Document Outline


Attachments


Layers







Current Outline Item






















Previous



Next





Highlight All

Match Case



Match
Diacritics

Whole Words









Color



Size







Color



Thickness



Opacity







Presentation Mode


Open


Print


Download


Current View



Go to First Page


Go to Last Page



Rotate Clockwise


Rotate Counterclockwise




Text Selection Tool


Hand Tool





Page Scrolling


Vertical Scrolling


Horizontal Scrolling


Wrapped Scrolling





No Spreads


Odd Spreads


Even Spreads




Document Properties…








Toggle Sidebar



Find



Previous



Next







Presentation Mode


Open


Print


Download


Current View




FreeText Annotation


Ink Annotation




Tools





Zoom Out



Zoom In





Automatic Zoom
Actual Size

Page Fit
Page Width


50%

75%

100%

125%

150%

200%

300%

400%




















More Information


Less Information




Close









Enter the password to open this PDF
file:





Cancel
OK




File name:
-


File size:
-



Title:
-


Author:
-


Subject:
-


Keywords:
-


Creation Date:
-


Modification Date:
-


Creator:
-



PDF Producer:
-


PDF Version:
-


Page Count:
-


Page Size:
-



Fast Web View:
-


Close




Preparing document for printing…



0%


Cancel
Matthew Powers - 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 ExperiencePricingMatthew PowersDeveloper Advocate at DatabricksBack to speakersMatthew is a Developer Advocate for Databricks on the Delta Lake team. He's a longtime Spark blogger (mungingdata.com) and Spark open-source contributor. His project include quinn, chispa, spark-daria, spark-fast-tests, and the spark-style-guide. He's passionate about Spark, Delta Lake, traveling, and learning languages.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.