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DESCRIPTION:Click for Latest Location Information: http://edw2018.dataversi
 ty.net/sessionPop.cfm?confid=121&proposalid=9509\n<p>There has been a surge
  of interest and investment in metadata management, as business stakeholder
 s increasingly recognize the criticality of quality enterprise metadata. Ho
 wever, a metadata management solution is never one-size-fits-all. With the 
 surge in both the volume of the data itself and the range of formats and te
 chnologies in which the data is stored, the complexity of metadata manageme
 nt has correspondingly increased. Both data management and data governance 
 professionals will benefit from this presentation of a framework for tailor
 ing metadata initiatives and tooling them to your organization. The present
 ation assumes a basic understanding of the&nbsp;what&nbsp;and&nbsp;why&nbsp
 ;of metadata&nbsp;and instead focuses on the&nbsp;how, drawing on our own l
 essons learned hands-on with multiple metadata repositories, leveraging thr
 ee different models ranging from tightly governed from fully crowdsourced. 
 Discussion will include:</p>\n\n
 Why you should fight the temptation to skimp on use cases alignment&nbsp;\n
 Suggestions for navigating the governance trade-off of quality versus speed
 &nbsp;\n
 Examples of various models for metadata management and our experience with 
 the pitfalls of each\n
 Technological limitations to metadata ingestion&nbsp;\n
 The disputable value of data lineage &nbsp;\n\n
DTSTART:20180424T113000
SUMMARY:Divergent Approaches to Metadata Management: Lessons Learned
DTEND:20180424T122959
LOCATION: See Description
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