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DESCRIPTION:Click for Latest Location Information: http://dgiq2024east.data
 versity.net/sessionPop.cfm?confid=162&proposalid=15619\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, accelerates insight delivery and enables m
 ore successful, sustainable, and scalable artificial intelligence, machine 
 learning, and analytics.\n\nTo be clear, the Data Product label is not a ne
 w marketing veneer laid on top of existing data artifacts and curation proc
 esses that are too often incomplete and lack discipline. Achieving these be
 nefits requires a specific mindset and culture. Fortunately, you don't 
 have to do it all at once. The key is to commit to the path and always keep
  moving forward.\n\nJoin Mark Cooper for this tutorial where he will e
 xplore the activities, artifacts, culture, and discipline required for succ
 essful Data Product implementation from the perspectives of both the consum
 er 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\n\n
DTSTART:20241209T083000
SUMMARY:T4: Delivering the "Product" in Data Product
DTEND:20241209T114459
LOCATION: See Description
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