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DTSTAMP:20260420T121429Z
DESCRIPTION:Click for Latest Location Information: http://edw2019.dataversi
 ty.net/sessionPop.cfm?confid=126&proposalid=10328\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 the cloud has t
 o offer. The mandate for becoming a data-centric company may have been set 
 a decade or more ago; it is time to refresh not only the architecture to su
 pport modern data needs but also the core elements of your data strategy an
 d roadmap. Cloud and hybrid architectures facilitate modern data capabiliti
 es. This tutorial includes recent updates on features within AWS, Azure, an
 d Google cloud services for analytic architectures.</p>\n<p>&nbsp;&nbsp;&nb
 sp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nb
 sp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nb
 sp;&nbsp;&nbsp;&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 5 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:20190318T133000
SUMMARY:Build Your Roadmap for Cloud Data and Analytics
DTEND:20190318T164459
LOCATION: See Description
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