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DESCRIPTION:Click for Latest Location Information: http://dgiq-edw2026.data
 versity.net/sessionPop.cfm?confid=165&proposalid=16391\n\nThe Data Product 
 is the foundation of modern analytics architectures, especially Data Mesh a
 nd Data Fabric. It encapsulates the activities and artifacts that promote t
 rust in the data, which, in turn, accelerate insight delivery and enable mo
 re successful, sustainable, and scalable artificial intelligence, machine l
 earning, and analytics.\n\nTo be clear, the Data Product label is not a new
  marketing veneer laid on top of existing data artifacts and curation proce
 sses that are too often incomplete and lack discipline. Achieving these ben
 efits requires a mindset shift and culture change. Fortunately, you don&#39
 ;t have to do it all at once. The key is to commit to the path and always k
 eep moving forward\n\nJoin Mark Cooper for this tutorial, where he will exp
 lore the activities, artifacts, culture, and discipline required for succes
 sful Data Product implementation from the perspectives of both the consumer
  and the provider. Topics include:\n\n	Data Product concept level-set\n
 Expectations of the Data Product consumer\n
 Necessary components of a Data Product\n
 Responsibilities of the Data Product provider\n
 Strategic approaches to Data Product implementation, including Data Contrac
 ts\n\n
DTSTART:20260504T083000
SUMMARY:T3: Delivering the Product in Data Product
DTEND:20260504T114459
LOCATION: See Description
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