aisquared/dais-2023 huggingface dataset:
Michael Green - 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 ExperiencePricingMichael GreenSenior Data Scientist at Hitachi Solutions AmericaBack to speakersMichael holds a doctorate in artificial intelligence from NYU's Tandon School of Engineering. He's been researching artificial intelligence for more than 6 years, with successful projects using tree-search, evolutionary optimization, deep learning, and reinforcement learning techniques, with more than 25 peer-reviewed papers. 
Today, Michael works as a product manager and senior data scientist at Hitachi Solutions America, leading the AI initiative for the Empower Platform team.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 클라우드 서비스 제공업체 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 NOWDatabricks클라우드 파트너Databricks 레이크하우스는 모든 주요 퍼블릭 클라우드에서 실행되며, 클라우드 공급업체가 기본적으로 제공하는 보안, 컴퓨팅, 스토리지, 분석, AI 서비스와 긴밀히 통합됩니다. 이는 어디서나 어떤 방식으로든 원하는 클라우드 제공업체를 활용하기 위한 민첩성을 제공합니다.Azure Databricks는 Databricks와 Microsoft가 공동으로 개발한 자체 서비스입니다. Azure Portal에서 클릭 한 번으로 시작하면, Azure 보안 및 데이터 서비스와 기본적으로 통합됩니다.자세히AWS 기반 Databricks를 사용하면 데이터 웨어하우스와 데이터 레이크의 장점을 결합한 간단한 개방형 레이크하우스 플랫폼에 모든 데이터를 저장하여 관리하고, 모든 분석 및 AI 워크로드를 통합할 수 있습니다.자세히Google Cloud의 Databricks는 Google Cloud Storage, BigQuery 및 Google Cloud AI 플랫폼과 긴밀한 통합으로 오픈 클라우드에 개방형 레이크하우스 플랫폼을 제공하여 데이터 엔지니어링, 데이터 사이언스, 분석을 통합합니다.자세히클라우드 리전●Azure  ●AWS  ●Google ●Alibaba제품플랫폼 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
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The Big Book of Machine Learning Use Cases | DatabrickseBookThe Big Book of Machine Learning Use Cases – 2nd EditionYour complete how-to guide to putting machine learning to work — plus use cases, code samples and notebooksThe world of machine learning is evolving so quickly that it’s challenging to find real-life use cases that are relevant to your day-to-day work.That’s why we’ve created this comprehensive guide you can start using right away. Get everything you need — use cases, code samples and notebooks — so you can start putting the Databricks Lakehouse Platform to work today.Plus, you’ll get case studies from leading companies like Comcast, Regeneron and Nationwide.Learn how to:Improve on-shelf availability with out of stock modelingMake real-time decisions in professional sports using quantitative modelingUse dynamic time warping and MLflow to detect sales trends seriesPerform multivariate time series forecasting with recurrent neural networksAccess new product capabilities with demosDetect financial fraud at scale with decision trees and MLflow on DatabricksDownload your copyProductPlatform 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
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Yeshwanth Vijayakumar - 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 ExperiencePricingYeshwanth VijayakumarSr Engineering Manager/Architect at AdobeBack to speakersYeshwanth Vijayakumar is a Sr Engineering Manager/Architect on the Unified Profile Team in the Adobe Experience Platform; it’s a PB scale store with a strong focus on millisecond latencies and analytical abilities and easily one of Adobe’s most challenging SaaS projects in terms of scale. He is actively designing/implementing the Interactive segmentation capabilities which helps us segment over two million records per second using Apache Spark. He looks for opportunities to build new features using interesting data Structures and Machine Learning approaches. In a previous life, he was a ML Engineer on the Yelp Ads team building models for Snippet Optimizations.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.
Scott Castle - 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 ExperiencePricingScott CastleChief Strategy Officer at SisenseBack to speakersScott Castle is Chief Strategy Officer for Sisense, leading go-to-market, cloud, messaging and business strategy. He brings more than 25 years of experience in software development and product management at leading technology companies including Adobe, Periscope Data, Electric Cloud (acquired by Cloudbees), and FileNet (acquired by IBM).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.
Miao 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 ExperiencePricingMiao WangSenior Engineering Manager at AdobeBack to speakersMiao is a Senior Engineering Manager at Adobe, where he works with a great team on platform engineering with Spark and other open-source technologies. He was an active Spark contributor before changing to his manager role. His interests span high-speed networks, data center infrastructure, data processing, and machine learning. Prior to joining Adobe, he worked at A10 Networks, IBM, and Alibaba in various engineering roles.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.
Paul Mracek - 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 MracekSenior Solutions Architect at DatabricksBack to speakersPaul Mracek has 15 years of Data and AI experience. He joined Databricks in 2021 and has supported Honeywell since 2022.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.
Antonio Castelo - 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 ExperiencePricingAntonio Castelo CollibraBack to speakersAntonio built the first partner integration with Unity Catalog, and has been instrumental in building customer momentum around the partnership with Databricks.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 고객 | 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 고객다양한 업종의 혁신 기업에서 성공을 위해 Databricks 레이크하우스 플랫폼을 어떻게 활용하고 있는지 알아보기추천 사례


고객 사례

수천만 명의 글로벌게임 사용자를 담은데이터 레이크하우스
데브시스터즈의 ‘쿠키런: 킹덤’은 전 세계적으로 4천만 명 이상의 유저를 확보하고 있습니다. 게임 유저와 데이터가 계속 증가하면서 성능 이슈가 발생했고 복잡하고 관리가 어려운데 유지 관리 비용도 많이 드는 자체 구축 플랫폼보다 더 높은 수준의 데이터 분석 솔루션이 필요했습니다.

더 읽어보기


고객 사례

인사이트 기반 대시보드 활용을 통한 고객 확보증대
Bagelcode는 전 세계 200여 개국에 5,000만 명 이상의 게임 이용자를 보유한 글로벌 게임 업체입니다.

자세히 읽기


고객 사례

팬덤 데이터로 팬 경험 향상
Weverse Company는 지난 2019년에 글로벌 팬덤 플랫폼인 'Weverse' 사업을 시작하며 전 세계의 팬과 아티스트들이 커뮤니티로 모일 수 있는 공간을 마련했습니다.

자세히 읽기


고객 사례

소비자가 현명한 선택을 할 수 있도록 지원
폭발적으로 성장하는 비즈니스 데이터를 활용하기 위해 분석 및 AI를 점점 더 많이 적용하고 있습니다.

자세히 읽기


고객 사례

AI로 인한 신약 개발 과정 변화
AstraZeneca는 세계적으로 가장 치료가 어려운 난치병에 대한 혁신적인 치료제를 발견하여 개발 및 상용화합니다.

자세히 읽기


고객 사례

ML로 다시 태어난 모바일 뱅킹
세계 최대 규모의 국제적 은행 중 하나인 HSBC는 모바일 기기에서 디지털 결제를 관리하기 위한 새로운 방법을 모색하고 있습니다.

자세히 읽기모든 고객 둘러보기데이터 팀의 효과데이터 팀은 세상에서 가장 어려운 문제를 해결하기 위해 모인 팀입니다.방법 보기 →다음 성공 사례의 주인공이 되세요!문의리소스고객 사례Condé Nast에서 Databricks를 통해 고객에게 개인 맞춤형 콘텐츠를 제공한 방법을 알아보세요.자세히웨비나Apple과 Disney+에서 통합형 분석과 AI를 성공 수단으로 활용하는 법지금 시청하기팟캐스트Humana 선임 부사장(SVP), 최고 데이터 및 분석 책임자(CDAO)인 Slawek Kierner 님 전하는 데이터 + AI가 의료 서비스 형평성에서 수행하는 역할지금 시청하기시작할 준비가 되셨나요?무료 시험판사용해 보기문의제품플랫폼 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.
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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
TEST Beckner - 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 ExperiencePricingTEST BecknerTEST at TESTBack to speakersTESTLooking 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.
Amrinder Singh Oberai - 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 ExperiencePricingAmrinder Singh OberaiEMR Migrations Lead 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.
パートナー | 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パートナーデータブリックスは、データ、分析、AI に関わるソリューションおよびサービスを提供する世界中の 1200+ 社以上のパートナーと連携しています。このパートナーシップを通じて、レイクハウスプラットフォームを基盤とするデータと AI のワークロードの統合、より有用な知見の抽出を可能にしています。「Databricksはデータ量を、Tableauは高速なビジュアライゼーションを提供します。これらのソリューションは、当社のプラットフォームの中核で完璧に連携し、最先端の自律走行機能を提供するために必要なパフォーマンスをお客様に提供します。"— Patrick McAuliffe, Lead Engineer, Inciteクラウドパートナーデータブリックスは、 AWS、Microsoft Azure、Google Cloud、Alibaba Cloud と連携し、各プロバイダのインフラ、データ、AI サービスと緊密に統合します。技術パートナー技術パートナーは、ソリューションをデータブリックスと統合し、ETL、データの取り込み、BI、機械学習、ガバナンスのためのケイパビリティを高めます。コンサルティングパートナーSI／コンサルティングパートナーは、それぞれ独自のポジショニングで、お客様におけるデータ、分析、AI に対する取り組みの戦略策定、展開、スケーリングを支援しています。パートナーになるデータブリックスは、パートナー企業との連携を通じて革新的なソリューションを構築し、お客様に提供しています。データブリックスのパートナープログラムに参加することにより、パートナー向けのツールやトレーニング、ソリューションアクセラレータ、Go-to-Market プログラムにアクセスできます。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.
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Learn Apache Spark™ with Delta Lake - DatabrickseBookUnlock the potential of your dataLearn how Apache Spark™ and Delta Lake unify all your data — big data and business data — on one platform for BI and ML.Apache Spark 3.x is a monumental shift in ease of use, higher performance and smarter unification of APIs across Spark components. And for the data being processed, Delta Lake brings data reliability and performance to data lakes, with capabilities like ACID transactions, schema enforcement, DML commands and time travel.In this eBook, we offer a step-by-step guide to technical content and related assets that will lead you to learn Apache Spark and Delta Lake. Whether you’re just getting started or you’re already an accomplished developer, explore the benefits of these open source projects.Here are the 8 steps we’ll cover:Why Apache Spark and Delta LakeApache Spark concepts, key terms and keywordsAdvanced Apache Spark internals and coreDataFrames, data sets and Spark SQL essentialsGraph processing with GraphFramesContinuous applications with structured streamingMachine learning for humansReliable data lakes and data pipelinesGet 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
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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
Mahesh Prakriya - 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 ExperiencePricingMahesh PrakriyaDirector in Intelligence Platform at MicrosoftBack to speakersMahesh Prakriya is a Director in Azure Data focused on ISVs and partnerships. Over 20+ years at Microsoft and industry, Mahesh shipped some of the key data and app platforms customer depend on including Power BI, Data Integration components, SQL Server, .NET Framework, Windows & Bing.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.
Todd Greenstein - 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 ExperiencePricingTodd GreensteinProduct Manager 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.
Rakesh Singh - 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 ExperiencePricingRakesh SinghLead Architect at ABN AMRO Bank N.VBack to speakersLead Solution Architect and responsible for designing a future-proof data platform for ABN AMRO BankLooking 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.
Deylo Woo - 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 ExperiencePricingDeylo WooData Engineer Architect at Providence Health ServicesBack to speakersDeylo Woo attended University of Alaska Anchorage (Computer Science) and is an experienced IT professional with 22 years of experience and 12 years with Providence Health Services. He specializes in Software and Data Engineering, and has worked with various technologies such as Java, .Net (C#), Javascript, Python, SQL, Data Warehouses, ETL development, and cloud architectures. Deylo is originally from Brazil but grew up in the US (Alaska) where his favorite past time is camping and fishing.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.
Risha Ravindranath - 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 ExperiencePricingRisha RavindranathSr Manager, Data Governance at Comcast AdvertisingBack to speakersRisha Ravindranath brings 10+ years of experience in Data Governance and Business Analysis. She is a highly involved business analyst who expertly brings solutions together to drive end-to-end data governance programs integrated with technical solutions. Risha currently is a Senior Manager of Data Governance at Comcast Effectv.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.
The Big Book of MLOps | DatabrickseBookA new data-centric approach to building robust MLOps practicesDiscover the fastest path to get machine learning models to production. The Big Book of MLOps will show you how data engineers, data scientists, and machine learning engineers can build and collaborate on a common platform, using powerful and open frameworks such as Delta Lake for data pipelines, MLflow for model management and Databricks Workflows for automation.In this eBook, you’ll learn:The essential components of an MLOps reference architectureThe key stakeholders to involve as you build and deploy machine learning applicationsHow to leverage the same platform for data and models and get to production fasterHow to monitor data and models through the complete ML lifecycle with end-to-end lineageBest practices to guide your MLOps planning and decision-makingDownload your copyProductPlatform 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.
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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
Shawn Gilleran - 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 ExperiencePricingShawn GilleranPrincipal Cloud Solutions Lead at LiveRampBack to speakersShawn Gilleran leads cloud solutions at LiveRamp, helping clients leverage identity for safe and effective data use in the cloud. With over 30 years in IT, he's an expert in managed infrastructure, specializing in identity resolution for marketing, compliance, and modeling. Prior to LiveRamp, he spent 25 years at Acxiom and founded Vortex, a company focused on data monetization. Shawn holds a BS in computer science and is a patent holder for marketing technologies. He resides in Little Rock, AR.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.
Paul Marsh - 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 MarshSenior Director Application Development at New York JetsBack to speakersPaul Marsh is the Sr. Director of Application Development at the New York Jets. In his current role, Paul is responsible for the development and management of the Jets data infrastructure including its Databricks installation and the other technologies that make up the organization's data stack. Paul has been with the Jets organization for 19 years, including 14 years overseeing application development at the organization. Paul holds an BA in History from Binghampton University as well as a Masters of Science in E-Commerce from Fairleigh Dickinson 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.
Slava Frid - 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 ExperiencePricingSlava FridCTO at WorldQuant PredictiveBack to speakersSlava is a 20+ year technology industry veteran who has led award-winning teams in finance, media, & non-profit sectors & enjoys pushing the envelope of what is considered possible. He is currently embracing the challenge of helping to build a new way to enable Quantitative Researchers to answer toughest questions businesses & organizations have. He received his degree in Econ from Wharton and a Computer Science degree from UPenn’s School of 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.
セキュリティ＆トラストセンター | 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 NOWSecurity & Trust CenterYour data security is our priority
 
 OverviewTrustSecurity FeaturesArchitectureCompliancePrivacyReport an IssueDatabricks では、お客さまにとっての貴重な資産であるデータが常に保護されるよう、レイクハウスプラットフォームの全レイヤーにセキュリティを組み込んでいます。また、プラットフォーム利用におけるコンプライアンスを確実にし、お客さまに対する透明性を維持することで、お客さまに安心して利用していただけるサービスの提供に努めています。Databricks では、お客さまにとっての貴重な資産であるデータが常に保護されるよう、レイクハウスプラットフォームの全レイヤーにセキュリティを組み込んでいます。また、プラットフォーム利用におけるコンプライアンスを確実にし、お客さまに対する透明性を維持することで、お客さまに安心して利用していただけるサービスの提供に努めています。トラストDatabricks は透明性を重視し、お客さまとの信頼を築いています。ペネトレーションテスト、脆弱性の管理、セキュアなソフトウェア開発など、業界トップレベルのベストプラクティスを通じて、レイクハウスプラットフォームをセキュアなものにしています。詳しく見るセキュリティ機能Databricks は、暗号化、ネットワーク制御、監査、ID の統合、アクセス制御、データガバナンスなど、お客さまのデータとワークロードを保護する包括的なセキュリティ機能を提供します。詳しく見るコンプライアンスDatabricks のレイクハウスプラットフォームは、世界中のあらゆる業界のお客さまに信頼されています。Databricks では、規制の厳しい業界特有のコンプライアンス要件を満たす認証や証明書を保持しています。詳しく見るプライバシーDatabricks は、お客さまのデータのプライバシーを尊重し、それがお客さまの組織および顧客にとって重要であることを理解しています。お客さまにおける個人情報保護法の遵守や、規制要件を満たすサポートをします。詳しく見るDatabricks のセキュリティをお客さまにセルフサービスでレビューしていただけるよう、コンプライアンス関連資料をご用意しています。デューデリジェンスパッケージ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.
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Pieter Noordhuis - 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 ExperiencePricingPieter NoordhuisSr. Staff Software Engineer at DatabricksBack to speakersSoftware Engineer at Databricks working on developer toolingLooking 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.
Building Machine Learning Platforms | DatabricksBuilding Machine Learning PlatformsHear Matei Zaharia’s keynote on MLOps and ML Platforms State of the Industry — now available on-demand. Learn about managing the end-to-end ML lifecycle at scale from Databricks’ chief technology officer and co-founder. Topics covered:Product demos: How to operationalize data science and ML on Databricks with MLflowReal-world use cases: Analytics experts at Blue Cross, Atlassian, Quby and OutreachQ&A panel: Hosted by Ben Lorica, Chief Data Scientist, DatabricksFeatured SpeakersMatei ZahariaCo-founder and Chief Technology OfficerDatabricksBen LoricaChief Data ScientistDatabricksClemens MewaldDirector, Product Management, Data Science and MLDatabricksWatch 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.
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Natalia Demidova - 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 ExperiencePricingNatalia DemidovaDirector-Solution Principal, Data Science and Artificial Intelligence, North America at Hitachi Solutions America Ltd.Back to speakersNatalia has a Ph.D. in Mechanical Engineering. She is serving as a Director – Solution Principal in Data, Data Science and AI with Hitachi Solutions. Natalia led the design of the Real-time AI platforms with MLOps and LLMOps, and Machine Learning pipelines in alignment with Client’s strategic business goals and KPIs. Some examples of Natalia's solutions with Azure Databricks involve the Intelligent Knowledge Management platform, AEC Construction Cloud with AI, IoT-based predictive maintenance.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.
Dawn Song - 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 ExperiencePricingDawn SongProfessor, Department of Electrical Engineering and Computer Science at UC BerkeleyBack to speakersDawn Song is a Professor in the Department of Electrical Engineering and Computer Science at UC Berkeley and co-Director of Berkeley Center on Responsible Decentralized Intelligence. Her research interest lies in AI and deep learning, security and privacy, and blockchain. She is the recipient of various awards including the MacArthur Fellowship, the Guggenheim Fellowship, the NSF CAREER Award, the Alfred P. Sloan Research Fellowship, the MIT Technology Review TR-35 Award, ACM SIGSAC Outstanding Innovation Award, and numerous Test-of-Time Awards and Best Paper Awards from top conferences in Computer Security and Deep Learning. She is an ACM Fellow and an IEEE Fellow. She is ranked the most cited scholar in computer security (AMiner Award). She obtained her Ph.D. degree from UC Berkeley. She is also a serial entrepreneur and has been named on the Female Founder 100 List by Inc. and Wired25 List of Innovators.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.
Michael Armbrust - 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 ExperiencePricingMichael ArmbrustDistinguished Engineer at DatabricksBack to speakersMichael Armbrust is committer and PMC member of Apache Spark™ and the original creator of Spark SQL. He currently leads the Delta Live Tables team at Databricks and is the original creator of Spark SQL, Structured Streaming and Delta. He received his PhD from UC Berkeley in 2013, and was advised by Michael Franklin, David Patterson, and Armando Fox. His thesis focused on building systems that allow developers to rapidly build scalable interactive applications, and specifically defined the notion of scale independence. His interests broadly include distributed systems, large-scale structured storage and query optimization.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.
Will Girten - 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 ExperiencePricingWill GirtenSr. Specialist Solutions Architect at DatabricksBack to speakersAs a Lead SSA at Databricks and author of the Node.js connector for Delta Sharing, Will is driven by his passion for open-source technologies and creating a more connected, data-driven world. He has over a decade of experience in big data, data warehousing, and performance optimizations. Will is committed to pushing the limits of what's possible and delivering transformative results. Contributing to the Delta Sharing project is just one way he's working to make a difference.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.
Lorenzo De Tomasi - 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 ExperiencePricingLorenzo De TomasiData Architect, Data Platforms Lead at Barilla at Barilla G. e R. Fratelli S.p.A.Back to speakersLorenzo De Tomasi is a skilled AI and Data Engineering manager. Holding a Computer Science Engineering degree, he worked as a Data Scientist at Luxottica Group, developing computer vision algorithms for quality processes. Now, he leads Advanced Analytics technology at Barilla Group, implementing complex Machine Learning, Deep Learning, and Advanced Analytics solutions in Marketing, Finance, RDQ, Sales, and more.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.