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DTSTAMP:20260610T215613Z
DESCRIPTION:Click for Latest Location Information: http://edw2023digital.da
 taversity.net/sessionPop.cfm?confid=155&proposalid=14156\nCloud Data Wareho
 using and Analytics should be a game-changer, but it can be a bust when com
 panies believe all the hype and misinformation about it. Hampered by t
 hese ill-informed expectations an enterprise’s project can fail to me
 et business/data objectives, be late, and exceed its budget. Its technology
  architecture becomes littered with too many underperforming products. The 
 prevalent “modern” approaches often commit the sins of copying 
 data as-is into the cloud, throwing everything into a data lake, or loading
  it all into a cloud DW. Have they never heard of an analytical Data Archit
 ecture?\nSome key takeaways you'll learn from this tutorial:\n\n
 Designing a modern analytical data architecture that enables data progressi
 ng through staging, integration, analytics, and distribution to support con
 sistency, management, governance, and productivity.\n
 Identify an enterprise’s integration and analytic use cases.\n
 Define the who (people and roles) and what (architecture components) involv
 ed in self-service data preparation and BI.\n
 Review the key technologies needed and plan an iterative implementation tim
 eline.\n	Discuss best and pragmatic practices to ensure success.\n\n
DTSTART:20230330T113000
SUMMARY:T12: Modern Data Warehousing and Analytics in the Cloud
DTEND:20230330T142959
LOCATION: See Description
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