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DTSTAMP:20260711T111853Z
DESCRIPTION:Click for Latest Location Information: http://edw2022.dataversi
 ty.net/sessionPop.cfm?confid=129&proposalid=13442\nWe will examine the feat
 ures of modern data architecture. How a platform-centric approach enab
 les rapid delivery and ongoing innovation while managing features-as-produc
 t engages stakeholders and democratizes releases, capabilities, and ongoing
  roadmap development. Our review of this journey will explore gaining 
 sponsorship, overcoming obstacles, and maintaining stakeholder engagement t
 hrough the quick wins and the longer, heavier-weight delivery cycles. 
 Lastly, we will talk about the components of a modern data platform and how
  they span the range of data governance, data architecture, data modeling, 
 data science, analytics, and operational intelligence solutions.\nTalking p
 oints will include conceptual data models, data technology stacks, feature 
 selection, rapid prototyping, and enabling business stakeholders to crowdso
 urce deliverables. Specific examples include:\n\n
 How to align your current tech stack with data platform opportunities\n
 Cloud vs. On-prem considerations\n
 Citizen data science and expert engineering\n
 Communicating strategy and progress to stakeholders\n
 Ensuring that sponsors buy into what they're getting\n
DTSTART:20220323T083000
SUMMARY:Modern Data Platforms — The Holistic View of Lakes, Houses, Marts, 
 and Stores
DTEND:20220323T092959
LOCATION: See Description
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