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DTSTAMP:20260519T194055Z
DESCRIPTION:Click for Latest Location Information: http://edw2020chicago.da
 taversity.net/sessionPop.cfm?confid=143&proposalid=12341\nBuilding a roadma
 p for cloud-based data and analytics requires new ways of thinking about pl
 atforms and pipelines with services to fully leverage the value cloud has t
 o offer. As enterprise data needs advance, companies must evolve their arch
 itectures to support modern data and analytics and the core elements of a m
 odern data strategy. For most organizations, the key to facilitating these 
 capabilities is with cloud, hybrid, and/or multi-cloud architectures. This 
 tutorial includes recent updates on features within AWS, Azure, and Google 
 Cloud Services for data and analytics architectures.      &n
 bsp;                     
                     &nbsp
 ;         \nThis tutorial will cover:\n\n
 A conceptual architecture for enterprise analytic capabilities\n
 A logical reference architecture for data platforms and engineering\n
 Top five 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:20201019T133000
SUMMARY:PM1: Evolve Your Data and Analytics Strategy with Cloud, Hybrid, an
 d Multi-Cloud Architectures
DTEND:20201019T164459
LOCATION: See Description
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