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DESCRIPTION:Click for Latest Location Information: http://edw2021.dataversi
 ty.net/sessionPop.cfm?confid=133&proposalid=12701\nWhenever we talk about d
 ata, data quality, or data governance, the topic of metadata invariably is 
 integral to the conversation. The rules that define what we mean by data qu
 ality as well as the results of profiling the data and analyzing the output
  are all metadata. While data governance governs decision rights and proced
 ures (among other things) for getting to managed data, the things we want t
 o know about our data, and how those things are connected together into an 
 information model are ALL metadata. And yet, the quality of the metadata is
  rarely discussed or practiced. But poor-quality metadata – from inco
 mplete definitions to missing values for information security classificatio
 n, to incorrect data types, to inaccurate data quality rules – can ha
 ve a catastrophic effect on the understanding and use of the data it descri
 bes. Improving the quality of your metadata is thus a worthwhile endeavor, 
 perhaps as much as improving the quality of your data.\nYou will learn:\n\n
 How to think about metadata as data\n
 The dimensions of metadata quality and samples of rules\n
 The impact of poor metadata quality\n
 Building the information model to specify metadata quality rules\n
 “Profiling” metadata quality: some art, some science\n
 Recording and analyzing the results of metadata profiling\n
 The impact of metadata quality on privacy regulations\n
 How quality metadata drives lineage\n
 Using data governance tools to improve metadata quality\n\n
DTSTART:20210419T113000
SUMMARY:T9: Metadata Quality: Ignore at Your Own Risk
DTEND:20210419T142959
LOCATION: See Description
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