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DTSTAMP:20260606T100824Z
DESCRIPTION:Click for Latest Location Information: http://edw2020.dataversi
 ty.net/sessionPop.cfm?confid=128&proposalid=11638\n<p>Building a roadmap fo
 r cloud-based data and analytics requires new ways of thinking about platfo
 rms and pipelines with services to fully leverage the value cloud has to of
 fer. As enterprise data needs advance, companies must evolve their architec
 tures to support modern data and analytics and the core elements of a moder
 n data strategy. For most organizations, the key to facilitating these capa
 bilities is with cloud, hybrid, and/or multi-cloud architectures. This tuto
 rial includes recent updates on features within AWS, Azure, and Google Clou
 d Services for data and analytics architectures.&nbsp; &nbsp; &nbsp; &nbsp;
  &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbs
 p; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &n
 bsp; &nbsp; &nbsp; &nbsp;&nbsp;</p>\n<p>This tutorial will cover:</p>\n\n
 A conceptual architecture for enterprise analytic capabilities\n
 A logical reference architecture for data platforms and engineering\n
 Top five&nbsp;mistakes to avoid in cloud migration for analytics\n
 Strategy and roadmaps for cloud migration\n
 New skill sets required for the cloud\n\n
DTSTART:20200323T133000
SUMMARY:PM1: Evolve Your Data Strategy with Cloud, Hybrid, and Multi-Cloud 
 Architectures
DTEND:20200323T164459
LOCATION: See Description
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