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DTSTAMP:20260810T073531Z
DESCRIPTION:Click for Latest Location Information: http://edw2023fall.datav
 ersity.net/sessionPop.cfm?confid=157&proposalid=14543\nDataOps, GitOps, and
  Docker containers are changing the role of Data Modeling, now at the cente
 r of end-to-end metadata management.\n\nSuccess in the world of self-servic
 e analytics, data meshes, as well as micro-services and event-driven archit
 ectures, can be challenged by the need to maintain the interoperability of 
 data catalogs/dictionaries with the constant evolution of schemas for datab
 ases and data exchanges.\n\nIn other words, the business side of human-read
 able metadata management must be up-to-date and in sync with the technical 
 side of machine-readable schemas. This process can only work at scale if it
  is automated.\n\nIt is hard enough for IT departments to keep in-sync sche
 mas across the various technologies involved in data pipelines. For data to
  be useful, the business users must have an up-to-date view of the structur
 es, complete with context and meaning.\n\nIn this session, we will review t
 he options available to create the foundations for a data management framew
 ork providing architectural lineage and curation of metadata management.\n
DTSTART:20230920T114500
SUMMARY:Understanding the Benefits of Polyglot Data Modeling and Metadata-a
 s-Code
DTEND:20230920T122959
LOCATION: See Description
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