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DESCRIPTION:Click for Latest Location Information: http://edw2019.dataversi
 ty.net/sessionPop.cfm?confid=126&proposalid=10198\n<p>Metadata-driven disco
 very applies automation to understand and create visibility into large hete
 rogeneous&nbsp;data assets. This fact-based visibility of the &ldquo;health
 &rdquo; of current data assets can be used to:</p>\n\n	\n
 <p>Justify initiation and prioritization of sustainable governance practice
 s &ndash; people, process &amp; tools.</p>\n	\n	\n
 <p>Drive &amp; measure continuous improvements in creation, processing, man
 agement, usage &amp; retention of the data assets.</p>\n
 \n\n<p>It&rsquo;s evident from studies and our experience that data prepara
 tion and process handovers take most of the time within data and analytics 
 development processes, metadata and data is handed over between different d
 evelopment phases and teams spanning across an entire lifecycle of a soluti
 on.</p>\nMetadata-driven Development embeds usage of collaborative metadata
  capabilities into the development processes. All processes can consume and
  contribute into a common repository. Process handovers are simplified, sta
 ndardized, integrated and automated. Business Information Model (BIM) linke
 d to the Metadata assets enables rapid business driven prototyping and test
  data preparation.
DTSTART:20190319T154500
SUMMARY:Metadata-Driven Development
DTEND:20190319T164459
LOCATION: See Description
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