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DTSTAMP:20260606T080447Z
DESCRIPTION:Click for Latest Location Information: http://edw2019.dataversi
 ty.net/sessionPop.cfm?confid=126&proposalid=10213\n<p>Organizations today g
 et value from their data in the face of challenging odds. Optimal managemen
 t of traditional data requires a wide skillset and strategic perspective. C
 hanges in technology have increased the volume, velocity, and variety of da
 ta, but many organizations do not yet have a handle on veracity in traditio
 nal data management environments, never mind big data environments. And, wh
 ile big data is on the rise, more traditional forms of data are not going a
 way. Instead, different kinds of data will co-exist and must be managed in 
 conjunction with one another. This tutorial will revisit the fundamentals o
 f data quality management in the light of big data and explore how to apply
  them in traditional and big data environments. Participants will learn how
  to assess the current state of their data environment and deliver more rel
 iable data to their stakeholders. The tutorial will include four sections:<
 /p>\n\n	Quality management concepts and principles\n
 Applying quality management to traditional data\n	Big Data challenges\n
 Data Quality Practices for Big Data and Little Data\n\n
DTSTART:20190317T143000
SUMMARY:DQ Fundamentals – For Data Big and Little
DTEND:20190317T174459
LOCATION: See Description
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