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DESCRIPTION:Click for Latest Location Information: http://edw2023fall.datav
 ersity.net/sessionPop.cfm?confid=157&proposalid=14659\nCloud Data Warehousi
 ng and Analytics should be a game-changer, but it can be a bust when compan
 ies believe all the hype and misinformation about it. Hampered by thes
 e ill-informed expectations, an enterprise’s project can fail to meet
  business/data objectives, be late, and exceed its budget. Its technology a
 rchitecture becomes littered with too many underperforming products. The pr
 evalent “modern” approaches often commit the sins of copying da
 ta as-is into the cloud, throwing everything into a data lake, or loading i
 t all into a cloud DW. Have they never heard of an analytical Data Architec
 ture?\n\nSome key takeaways you'll learn from this tutorial:\n\n
 Designing a modern analytical data architecture that enables data progressi
 on through staging, integration, analytics, and distribution to suppor
 t consistency, 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:20230918T124500
SUMMARY:T13: Modern Data Warehousing and Analytics in the Cloud
DTEND:20230918T155959
LOCATION: See Description
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