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洁净室入门:在数据砖上使用洁净室在 BI、ML 等中使用更多更好的数据.pdf

上传人: 2*** 编号:139135 2023-06-04 14页 4.50MB

1、Clean Room Primer:Using Clean Rooms on Databricks to Utilize More and Better Data in your BI,ML,and BeyondMatt Karasick;Chief Product Officer,HabuAnil Puliyeril;Senior Architect;HabuDatabricks2023Habu is a data clean room software company that makes collaboration across decentralized data safe,simpl

2、e,scalable,and smart.SFNYBOSEMEALATAMF I N A N C I A LT R A V E LG A M I N GA U T O M O T I V E M E D I A&E N T.R E T A I LC P GMatt KarasickChief Product Officer,HabuAnil PuliyerilSenior Architect,Habu H E A L T H C A R ELet your data be your data,and your partners data be theirs.Let your models be

3、 yours,your partners models be theirs.Habus core architectural principle/promise to its adoptersIf you and your partner create mutually beneficial opportunities wherein you explicitly decide to share or commingle data or models,we give you the tooling to do it under the plain light of day,with contr

4、ol.Market forces are resulting in loss of data signal ushering in the era of decentralized data Deprecation of DataConsumers continue to opt out of third-party tracking and data storingConsumer ActionsThird-party cookie restrictions,changes to mobile ad IDs,and the rise of privacy-first browsers imp

5、act identity-based marketing strategiesBrowser and Operating System RestrictionsAd blockersDo not trackClearing away browsing historyApple ITPFirefox ETPMAID restrictionsRegulations impact advertisers ability to track and store dataPrivacy RegulationsThese closed ecosystems restrict data extraction

6、and tracking,which impacts insights access and marketing planning capabilitiesWalled GardensGDPRLGPDAmazonFacebookGoogleCPRAePrivacyRetail Media&CTVsource:Forrester Research,Inc.Data clean rooms are the vehicle to access decentralized data to fuel collaborative BI and ML use cases Whats a data clean

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Habu是一家数据清洁室软件公司,致力于使跨分布式数据协作变得安全、简单、可扩展和智能。文章强调了在数据清洁室中,数据所有者和服务提供者可以在保持隐私的同时共享数据和模型。数据清洁室提供了一个隐私优先的环境,用于直接数据协作,解决了由于浏览器和操作系统限制、隐私法规以及封闭生态系统等因素导致的消费者数据信号丢失问题。数据清洁室允许品牌合作伙伴在保持隐私控制、治理政策和自动化工作流程的同时,内部共享数据和访问合作伙伴的数据,从而推动业务成果并提高对尊重数据实践的认识。文章还提到了一个案例研究,即一家跨国食品饮料公司通过与零售合作伙伴在清洁室中合并数据,优化了产品组合、促销和定价策略。最后,文章强调了Databricks与Habu的集成,提供了对数据的全面控制和隐私管理,使任何分析工作负载都能获得无与伦比的数据访问。
"数据清洁室如何保护消费者隐私?" "如何在合作伙伴之间安全地共享和融合数据?" "数据清洁室如何助力企业实现业务增长?"
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