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DTSTAMP:20260308T042328Z
DESCRIPTION:Click for Latest Location Information: http://edw2019.dataversi
 ty.net/sessionPop.cfm?confid=126&proposalid=10568\n<p>Organizations are col
 lecting more data than ever before, and are under pressure to drive busines
 s value from that data for a wide range of use cases, including customer an
 alytics, fraud detection, machine learning and more. &nbsp;It&rsquo;s essen
 tial to understand all the data you have, and ensure its quality, as it&rsq
 uo;s put to use across the business.&nbsp; But applying robust data quality
  for such large data volumes presents some new challenges.&nbsp;</p>\n<p>Jo
 in this session to learn what you need to think about &ndash; and some prov
 en approaches &ndash; for profiling and cleansing your Big Data at scale, w
 hile meeting SLAs and ensuring consistent data quality across the enterpris
 e &ndash; on premise and in the cloud.&nbsp; In this session we will discus
 s:</p>\n\n	Big Data use cases\n
 Challenges and approaches for ensuring data quality at scale\n
 Case studies from organizations who are doing this today\n\n
DTSTART:20190319T150000
SUMMARY:Delivering High-Quality Data in a Big Data World
DTEND:20190319T152959
LOCATION: See Description
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