aisquared/dais-2023 huggingface dataset:
Databricks 製品、パートナーとの連携、ソシューションアクセラレータのデモ | 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デモ動画一覧Databricks をユーザーの視点で解説したデモ動画をオンデマンドで視聴できます。Notebook、eBook などの関連資料もあわせてご覧ください。無料トライアルを開始製品のデモDatabricks プラットフォームDatabricks レイクハウスプラットフォームの概要と、Apache Spark™、Delta Lake、MLflow、Koalas などのオープンソースプロジェクトが Databricks のエコシステムにどのように組み込まれているかを解説します。詳しく見るDatabricks SQLDatabricks WorkflowsUnity Catalogデータサイエンスと機械学習Delta SharingDelta LakeDelta Live TablesDelta Lake によるデータ統合（オートローダー、 COPY INTO）パートナーとの連携に関するデモAzure Databricks のクラウド統合Azure Databricks レイクハウスプラットフォームは、データレイクとデータウェアハウスの両方の利点を備えた、シンプルでオープン、かつ、コラボレーションが可能なプラットフォームです。このデモでは、Azure Databricks の主要な統合をご紹介します。Azure Data Lake Storage（ADLS）、Azure Data Factory（ADF）、Azure IoT Hub、Azure Synapse Analytics、Power BI などが含まれます。詳しく見るDatabricks AWS のクラウド統合Databricks on Google CloudPartner Connect業種別ソリューション発案から PoC までを 2 週間で完了Databricks ソリューションアクセラレータは、成果創出を加速するフル機能の Notebook やベストプラクティスを含む目的に沿ったガイドです。ソリューションアクセラレータを使用することで、発見、設計、開発、テストにかかる時間を短縮でき、多くのお客様は、発案から PoC までをわずか 2 週間で完了させています。ソリューションアクセラレータを見る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無料トライアル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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Data Engineering, Data Science and Analytics With Databricks on Google Cloud | DatabrickseBookData Engineering, Data Science and Analytics With Databricks on Google CloudData engineering and data science use cases, including code samples and notebooksIn this eBook, explore two practical data engineering and data science use cases you can put to work right now to get familiar with Databricks on Google Cloud. It includes code samples and example notebooks for a hands-on experience.You’ll get a deep dive into these use cases:How to build a data pipeline using Delta Lake on Google Cloud Storage, and pull data from Databricks and BigQuery to visualize in LookerHow to automate experiment tracking with Managed MLflow, version a MLflow model with MLflow Model Registry and write inferences to BigQueryGet 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
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Daniel Tenedorio - 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 ExperiencePricingDaniel TenedorioSr. Staff Software Engineer at DatabricksBack to speakersDaniel Tenedorio is a software engineer at Databricks, working on Spark Core and Spark SQL. He interacts with the Apache Spark™ open-source community to develop and review query processing features. Daniel has a breadth of experience in database management systems development from building and launching features underpinning multiple major production services over time.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.
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Databricks nommé leader | DatabricksMagic Quadrant™ 2022 Gartner®Databricks nommé leaderSystèmes de gestion de base de données cloudDatabricks nommé leader dans le Magic Quadrant™ Gartner® 2022 dans la catégorie CDBMS (Cloud Database Management System)Pour la deuxième année consécutive, Databricks a l'honneur d'être nommé leader dans le Magic Quadrant 2022 du cabinet Gartner pour les systèmes de gestion de base de données cloud.Cette récompense valide notre vision du lakehouse : une plateforme unifiée pour la gestion de données, le data engineering, mais aussi l'analytique et l'IA.Téléchargez le rapport pour découvrir pourquoi Gartner a désigné Databricks comme leader et obtenir des éclairages supplémentaires sur les avantages que présente une plateforme lakehouse pour votre organisation.Consulter le rapport Gartner, Magic Quadrant for Cloud Database Management Systems, Henry Cook, Merv Adrian, Rick Greenwald, Xingyu Gu, 13 December 2022.
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Databricks.ProduitPlatform OverviewTarifsOpen Source TechEssayer DatabricksDémoProduitPlatform OverviewTarifsOpen Source TechEssayer DatabricksDémoLearn & SupportDocumentationGlossaryFORMATION ET CERTIFICATIONHelp CenterLegalCommunauté en ligneLearn & SupportDocumentationGlossaryFORMATION ET CERTIFICATIONHelp CenterLegalCommunauté en ligneSolutionsBy IndustriesServices professionnelsSolutionsBy IndustriesServices professionnelsEntrepriseNous connaîtreOffres d'emploi chez DatabricksDiversité et inclusionBlog de l'entrepriseNous contacterEntrepriseNous connaîtreOffres d'emploi chez DatabricksDiversité et inclusionBlog de l'entrepriseNous contacterDécouvrez les offres d'emploi
chez Databrickspays/régionsEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc.
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Jay Bhankharia - 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 ExperiencePricingJay BhankhariaSenior Director, Data Partnerships 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.
Rodrigo Beceiro - 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 ExperiencePricingRodrigo BeceiroCTO & Cofounder at MarvikBack to speakersRodrigo Beceiro is Marvik co-founder and CTO, a machine learning development startup that specializes in Computer Vision, Predictive Analytics and Natural Language Processing. Rodrigo is an Telecommunications Engineer, Scrum Master, graduated from Udacity’s AI nanodegree and from a Master in technological business management. He has also completed the MIT Deep Tech Bootcamp.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.
Leveraging Alternative and Third-Party Data in Financial Services | DatabricksLeveraging Alternative and Third-Party Data in Financial ServicesData has become the key competitive advantage for banks, insurers and asset managers. The ability to make sense of the data — both alternative and traditional data sources — is key for financial services institutions to create competitive advantage and make data-driven decisions.Download this ebook to gain best practices and actionable guidance on how to analyze and extract insights from diverse datasets, giving you the ability to make superior business decisions.This guide covers:The challenges of leveraging alternative data sources for analyticsThe importance of unifying data engineering, analytics, and data science to fuel innovationAn industry use case, featuring MScience, where alternative data and real-time actionable insights are used to improve investment decisionsDownload the eBook, Leveraging Alternative and Third-Party Data in Financial Services with Apache Spark and Databricks to learn more.Get 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
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CIO vision 2025: Bridging the gap between BI and AI – Databricks (CIO-Vision 2025: Die Lücke zwischen BI und KI schließen – Databricks)BerichtCIO vision 2025 (CIO-Vision 2025)Bridging the gap between BI and AI (Die Lücke zwischen BI und KI schließen)Weltweite Umfrage unter CIOs zur wertorientierten Einführung von KI im UnternehmenErfahren Sie, wie Top-Unternehmen und Organisationen ihre größten Datenherausforderungen bewältigen, um KI zu meistern. Im neuen Forschungsbericht von MIT Technology Review erhalten Sie Erkenntnisse von 600 CIOs in 18 Ländern und 14 Branchen.Wie priorisieren CIOs die Einführung von KI? Wie investieren sie in Verbesserungen ihrer Datenstrategie?Erhalten Sie Antworten aus ausführlichen Interviews mit C-Level-Führungskräften u. a. von Procter & Gamble, Johnson & Johnson, Cummins, Walgreens, S&P Global und Marks & Spencer.Informieren Sie sich über die wichtigsten Ergebnisse zu den Perspektiven von CIOs:72 % geben an, dass Daten die größte Herausforderung für KI sind, und 68 % sagen, dass die Vereinheitlichung ihrer Datenplattform für Analytics und KI entscheidend ist.94 % geben an, KI bereits in Geschäftsbereichen einzusetzen, und mehr als die Hälfte geht davon aus, dass KI bis 2025 weit verbreitet sein wird72 % glauben, dass Multicloud von entscheidender Bedeutung ist, und viele unterstützen offene Standards, um strategische Flexibilität zu erhaltenBericht abrufenProduktPlatform OverviewPreiseOpen Source TechDatabricks testenDemoProduktPlatform OverviewPreiseOpen Source TechDatabricks testenDemoLearn & SupportDokumentationGlossaryWEITERBILDUNG & ZERTIFIZIERUNGHelp CenterLegalOnline-CommunityLearn & SupportDokumentationGlossaryWEITERBILDUNG & ZERTIFIZIERUNGHelp CenterLegalOnline-CommunityLösungenBy IndustriesProfessionelle ServicesLösungenBy IndustriesProfessionelle ServicesUnternehmenÜber unsKarriere bei DatabricksDiversität und InklusionUnternehmensblogKontaktUnternehmenÜber unsKarriere bei DatabricksDiversität und InklusionUnternehmensblogKontaktWeitere Informationen unter
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Matt McKenzie - 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 ExperiencePricingMatt McKenzieGM, Technology at TabcorpBack 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.
Can Elfeoglu - 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 ExperiencePricingCan ElfeogluStaff Product 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.
Built on Databricks 파트너 프로그램 | 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 NOWBuilt on Databricks 파트너 프로그램Databricks와 비즈니스 구축, 마케팅 및 성장지금 신청하기Built on Databricks 파트너 프로그램에서는 최신 SaaS 애플리케이션의 개발을 가속화하고 비즈니스를 성장시킬 수 있는 기술 및 GTM(go-to-market) 리소스를 활용할 수 있습니다. Databricks 레이크하우스 플랫폼을 기반으로 구축하면 비용 효율적인 통합 경험을 제공하여 데이터 애플리케이션, 제품 및 서비스를 개발하고 개방형의 글로벌 에코시스템에서 규모에 맞게 데이터를 원활하게 공유할 수 있습니다.Built on Databricks를 통해 규모에 맞게 비즈니스 가치를 실현하고 있는 파트너블로그지금 읽기웨비나지금 보기블로그지금 읽기Built on Databricks 파트너 혜택Databricks 전문가와 상담
Databricks 제품, 엔지니어링 및 지원팀에 문의최신 플랫폼 구축
시장을 선도하는 레이크하우스를 통합된 데이터, 분석 및 AI에 활용더 많은 고객에게 도달
단 하나의 안전한 개방형 플랫폼에서 데이터 소비자로 도달 범위 확장마케팅 지원
마케팅 투자를 통한 매출 증대와 도달 범위 확대공동 영업
Databricks 영업팀과의 협업 및 지원을 통해 더 많은 기회 개발지금 시작해 보세요!지금 신청하기제품플랫폼 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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Alexander Booth - 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 BoothAssistant Director of Research & Development at Texas Rangers Baseball Club, LLCBack to speakersAlexander is a data scientist, data engineer, and application developer with extensive experience in using machine learning and artificial intelligence techniques, based on insights from big data, to communicate actionable decisions to management to help generate a competitive advantage. He specializes in Sports Analytics with a particular passion for learning how innovation and new technology can shape the game of baseball.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.
Yali Sassoon - 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 ExperiencePricingYali SassoonCPO at SnowplowBack to speakersYali is passionate about the transformative impact of data. Yali Sassoon co-founded Snowplow to help companies realize the possibilities the behavioral data creates to build deep understanding of individuals in real-time. Prior to Snowplow Yali spent his career in data, as a consultant (operational and strategic) and in house at OpenX. Yali has an MPhil in History and Philosophy of Science and a BA in Natural Sciences, both from the University of Cambridge.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.
Marcel Kramer - 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 ExperiencePricingMarcel KramerHead of Data Engineering at ABN AMRO Bank N.VBack to speakersAccountable for ~50 DevOps teams with 500+ IT engineers delivering all bank wide data capabilities (DQ monitoring, data distribution, data privacy and security, data governance, advanced analytics, process mining and MLE platforms). Broad tech stack ranging from traditional to latest cutting edge technologies. Defined together with CDO rigorous data strategy, to make ABN AMRO a data driven company. Actively involved with AA ventures in data technology investments.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.
Migrating from a Data Warehouse to a Data Lakehouse | DatabrickseBookMigrating From a Data Warehouse to a Data Lakehouse for DummiesAnalyze All Your Data in One PlaceEnterprise data warehouses offer features essential to running a business, but they limit your benefits by creating complexity, introducing data management issues and hindering innovation. With a modern data architecture, you no longer need to operate two competing data architectures — data warehouses and data lakes. You can run your SQL and BI workloads where all your data already resides — your data lake.That’s why you should migrate to the Databricks Lakehouse, a simple, open and multicloud platform that offers better price/performance and fine-grained governance for your data warehouse workloads — as well as scalable AI — all while helping you optimize your total cost of ownership by simplifying your data architecture.In this eBook, you’ll learn how to:Assess your company’s data maturityPrioritize your data and AI strategyManage all your unique data types in one placeEvaluate top considerations for your data warehouse migrationMaximize your benefits from enterprise dataGet 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.
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The Modern Cloud Data Platform for Dummies | DatabrickseBookData has a new destination. Here’s your guide.How to get the best of data warehouses and data lakesYou might’ve heard that the lakehouse is opening up a new era of data and AI.But before you can run a data lakehouse, you need to walk through this guide. The Modern Cloud Data Platform for Dummies is the introduction every data professional needs to start simplifying — and future-proofing — their data management strategy.In this eBook, you’ll take a deep dive into:Why traditional data management solutions are failingLakehouse vs. other data management solutions — a head-to-head comparisonThe business and technical benefits of unifying all analytics workloads in one platformDownload the eBook now and see how the lakehouse can help your data teams simplify and move faster — and still bring down costs. This is the guide you’ll want to share with your team members and other stakeholders.Get 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
데이터 레이크하우스 아키텍처 및 AI 기업 - DatabricksSkip to main content플랫폼Databricks 레이크하우스 플랫폼Delta Lake데이터 거버넌스데이터 엔지니어링데이터 스트리밍데이터 웨어하우징데이터 공유머신 러닝데이터 사이언스가격Marketplace오픈 소스 기술보안 및 신뢰 센터웨비나 5월 18일 / 오전 8시(태평양 표준시)
안녕, 데이터 웨어하우스. 안녕하세요, 레이크하우스입니다.
데이터 레이크하우스가 최신 데이터 스택에 어떻게 부합하는지 이해하려면 참석하십시오.
지금 등록하세요솔루션산업별 솔루션금융 서비스의료 서비스 및 생명 공학제조커뮤니케이션, 미디어 및 엔터테인먼트공공 부문리테일모든 산업 보기사용 사례별 솔루션솔루션 액셀러레이터프로페셔널 서비스디지털 네이티브 비즈니스데이터 플랫폼 마이그레이션5월 9일 | 오전 8시(태평양 표준시)
 
제조업을 위한 레이크하우스 살펴보기
코닝이 수동 검사를 최소화하고 운송 비용을 절감하며 고객 만족도를 높이는 중요한 결정을 내리는 방법을 들어보십시오.지금 등록하세요학습관련 문서교육 및 인증데모리소스온라인 커뮤니티University Alliance이벤트Data + AI Summit블로그LabsBeacons2023년 6월 26일~29일
직접 참석하거나 키노트 라이브스트림을 시청하세요.지금 등록하기고객파트너클라우드 파트너AWSAzureGoogle CloudPartner Connect기술 및 데이터 파트너기술 파트너 프로그램데이터 파트너 프로그램Built on Databricks Partner Program컨설팅 & SI 파트너C&SI 파트너 프로그램파트너 솔루션클릭 몇 번만으로 검증된 파트너 솔루션과 연결됩니다.자세히회사Databricks 채용Databricks 팀이사회회사 블로그보도 자료Databricks 벤처수상 실적문의처Gartner가 Databricks를 2년 연속 리더로 선정한 이유 알아보기보고서 받기Databricks 이용해 보기데모 보기문의처로그인JUNE 26-29REGISTER NOW최고의 데이터 웨어하우스 레이크하우스입니다모든 데이터, 분석 및 AI를
하나의 플랫폼에무료로 시작하기자세히레이크하우스 플랫폼으로 비용 절감 및 혁신 가속화자세히통합형하나의 플랫폼으로 데이터를 일관되게 관리하고 모든 분석과 AI를 지원합니다.오픈개방형 표준을 기반으로 구축되고 모든 클라우드와 통합되어 현대적 데이터 스택에서 원활하게 작동합니다.확장성간단한 데이터 파이프라인부터 대규모 LLM에 이르기까지 모든 워크로드에 맞게 효율적으로 확장합니다.레이크하우스를 선택한 데이터 기반 기업
모든 고객 보기
데이터 팀을 통합해주는 레이크하우스데이터 관리와 엔지니어링데이터 수집과 관리 간소화Delta Lake를 이용하면 자동화되고 안정적인 ETL, 안전한 오픈형 데이터 공유, 초고속 성능을 기반으로 데이터 레이크에 있는 정형, 반정형, 비정형 데이터를 쉽게 변환하여 목적지로 보낼 수 있습니다.자세히 알아보기 데모 보기데이터 웨어하우징가장 완전한 데이터에서
새로운 인사이트 도출최신 버전의 가장 완전한 데이터에 즉 액세스할 수 있고 강력한 Databricks SQL을 이용해 (기존 클라우드 데이터 웨어하우스 대비 가격/성능 면에서 최대 12배 우월) 데이터 애널리스트와 데이터 사이언티스트가 새로운 인사이트를 신속하게 도출할 수 있습니다.자세히 알아보기 데모 보기데이터 사이언스와 머신 러닝수명 주기 전체에 걸쳐
ML 속도 가속Databricks 머신 러닝의 기본 토대는 레이크하우스입니다. 이것은 피처 엔지니어링부터 프로덕션까지 머신 러닝의 수명 주기 전체에 적합한 데이터 네이티브, 협업형 솔루션입니다. 레이크하우스는 양질의 고도로 성능이 우수한 데이터 파이프라인과 함께 사용하면 머신 러닝 속도를 빠르게 하고 팀 생산성을 높여줍니다.자세히 알아보기 데모 보기데이터 거버넌스 및 공유데이터 분석 및 AI를 위한 거버넌스 및 공유 통합Databricks를 통해 어떠한 클라우드의 레이크하우스에서든 모든 데이터 분석, AI 애셋을 위한 일반적인 보안 및 거버넌스 모델을 얻을 수 있습니다. 또한 오픈 마켓플레이스를 통한 데이터 제품 배포와 더불어 복제나 종속 없이 데이터 플랫폼, 클라우드 또는 지역에 걸쳐 데이터를 탐색하고 공유할 수 있습니다.자세히 알아보기 데모 보기데이터 웨어하우스의 시대는 갔습니다.
왜 레이크하우스가 데이터와 AI를 위한
최신 아키텍처인지 그 이유를 알아보세요.레이크하우스 알아보기세션 카탈로그 공개레이크하우스 에코시스템과 오픈 소스 기술의 발전을 만나볼 수 있는 샌프란시스코로 여러분을 초대합니다.지금 등록하기Gartner가 Databricks를 2년 연속 리더로 선정한 이유를 알아보세요.보고서 받기600명의 CIO. 14개 산업. 18개 국가.이 새로운 조사에서 데이터 전략이 AI의 성공에 중요하다는 것을 알았습니다. 더 많은 CIO의 견해를 확인하세요.보고서 받기보다 효과적인 MLOps 방법을 찾는 ML 엔지니어와 데이터 사이언티스트가 읽어야 할 자료eBook 다운로드시작할 준비가 되셨나요?Databricks 무료로 시작하기제품플랫폼 개요가격오픈 소스 기술Databricks 이용해 보기데모제품플랫폼 개요가격오픈 소스 기술Databricks 이용해 보기데모학습 및 지원관련 문서용어집교육 및 인증헬프 센터법적 고지온라인 커뮤니티학습 및 지원관련 문서용어집교육 및 인증헬프 센터법적 고지온라인 커뮤니티솔루션산업 기준프로페셔널 서비스솔루션산업 기준프로페셔널 서비스회사Databricks 소개Databricks 채용다양성 및 포용성회사 블로그문의처회사Databricks 소개Databricks 채용다양성 및 포용성회사 블로그문의처Databricks
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Gavita Regunath - 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 ExperiencePricingGavita RegunathPrincipal Data Scientist at Advancing AnalyticsBack to speakersGavita Regunath is a passionate data scientist with Advancing Analytics, a mother, wife, mentor, and addicted to learning new things. In her spare time, she loves spending time with her family and enjoys fulfilling her STEM role, where she delivers AI and machine learning lessons to primary school children.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 Retail & Consumer Goods Use Cases | DatabrickseBookReimagine the future of retail with the LakehouseMake smarter real-time decisionsYour customers want the right product or service at the right time and with a seamless shopping experience. Learn how to tackle your most critical use cases with the Databricks Lakehouse for Retail so you can modernize your data and AI capabilities and drive real-time decisions in order to lead customers on a journey that champions your brand. Get the details in this new eBook.You’ll learn how to:Build a foundation for innovation with all your data types, sources and workloads in a single architectureDevelop a resilient and predictive supply chain with scalable, fine-grained forecastsCombine all customer data so you can offer personalized experiences that help increase market shareGet record-setting performance at a market-leading cost of ownershipAct faster with the LakehouseProductPlatform 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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Robinson Creighton - 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 ExperiencePricingRobinson CreightonPrincipal Analyst, Enterprise Data Ops at Comcast AdvertisingBack to speakersRobinson "Robs" Creighton is Sr. DataOps Lead, Advanced Analytics, for Comcast Effectv, responsible for their data stack architecture and lakehouse migration. Previously, she worked as a data analyst at Northwestern Mutual. She is a graduate of the University of Pennsylvania.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.
Morgan Hsu - 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 ExperiencePricingMorgan HsuDirector, Data and ML Engineering at FanDuelBack to speakersMorgan manages the Insights and ML platform teams at FanDuel. His teams provide ML infrastructure and services used to support use cases including responsible gaming, fraud detection, and marketing 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.
Vicky Andonova - 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 ExperiencePricingVicky AndonovaManager, Applied Machine Learning at AnomaloBack to speakersVicky is a founding team member and the manager of the Applied Machine Learning team at Anomalo. Her team is responsible for building Anomalo’s machine-learning models and translating them into actionable insights for customers. Before Anomalo, Vicky worked at Instacart as a senior data scientist. There, she built Instacart’s experimentation platform and was the lead data scientist on a company initiative to improve grocery delivery quality. Vicky graduated with a BSEE from Columbia 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.
데이터 파트너 프로그램 | 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 NOW데이터 제공자 파트너 프로그램Databricks를 통해 광범위하고 개방적인 데이터 소비자 에코시스템에 액세스지금 신청하기Databricks는 데이터 제공자 파트너가 하나의 플랫폼에서 방대한 개방형 데이터 소비자 에코시스템에 대해 데이터 자산을 수익화할 수 있도록 돕습니다. 우리 파트너는 Databricks 레이크하우스 플랫폼을 사용하여 더 많은 고객에게 도달하고, 비용을 절감하며, 모든 데이터 공유 요구 사항에 업계 최고의 경험을 제공합니다.데이터 제공자 파트너의 혜택더 많은 소비자에게 도달하나의 안전한 개방적 플랫폼에서 데이터 소비자로 도달 범위 확장더 나은 소비자 경험데이터 소비자의 설정 및 활성화 시간 단축마케팅 지원Databricks의 마케팅 지원을 통해 노출 향상데이터 제품을 위한 기술시장을 선도하는 레이크하우스 을 데이터, 분석 및 AI에 활용제품 및 R&D 팀 액세스Databricks 제품, 엔지니어링 및 지원팀에 액세스산업 솔루션Databricks 산업팀과 협력하여 고객 사용 사례용으로 설계된 산업별 솔루션 구축데이터 제공자를 위한 Delta SharingDatabricks는 데이터가 존재하는 플랫폼과 관계없이 실시간 조직 간 보안 데이터 공유를 위한 세계 최초의 개방적 프로토콜인 Delta Sharing와 기본적으로 통합됩니다.광범위한 에코시스템에서 지원을 받는 Delta Sharing오픈 소스 클라이언트상업적 클라이언트비즈니스 인텔리전스분석거버넌스데이터 공급업체시작할 준비가 되셨나요?지금 신청하기파트너 찾기제품플랫폼 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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Marius Panga - 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 ExperiencePricingMarius PangaSolutions Architect at DatabricksBack to speakersSolutions Architect at Databricks with considerable experience in business intelligence, data warehousing, and data engineering. Deeply committed to exploring the potential of data and technology to tackle real-world issues.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.
Marianna Cervino - 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 ExperiencePricingMarianna CervinoGlobal Data Scientist at GucciBack to speakersMarianna holds a Master Degree in Physics from University of Bari. She is a Data Scientist experienced in Time Series Forecasting methodologies and has worked on business problems of diverse industries in the past years. She joined Gucci in 2021, where she works in collaboration with the Media Department.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.
Roie Schwaber-Cohen - 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 ExperiencePricingRoie Schwaber-CohenStaff Developer Advocate at PineconeBack to speakersRoie Schwaber-Cohen is a staff developer advocate at Pinecone. He has 15 years of software engineering experience and has worked in a variety of startups across industries. Roie is a musician, playing piano and flute. He lives in Seattle with my wife and daughter, along with our two dogs and cat.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.
Support your data workloads at scale | DatabricksTechnical GuideSupport your data workloads at scaleWhile boosting cost efficiency and productivityHow to increase productivity and efficiently support your data, analytics and AI workloads at scaleDownload this technical guide to learn how startups and digital native businesses are solving some of their common data challenges. You’ll benefit from architecture diagrams, step-by-step solutions and quickstart guides. Learn how to support data use cases as you scale while boosting cost efficiency and productivity. You’ll also find real-life use cases from leading companies such as Grammarly, Rivian, ButcherBox, Abnormal Security, Iterable and Zipline.Read the entire guide or dive straight into any of these specific challenges:Consolidating on an open, unified data platform like the lakehouseScaling capacity and increasing performance and usability of data solutionsBuilding effective machine learning operationsGet the technical guideProductPlatform 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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