BEGIN:VCALENDAR VERSION:2.0 PRODID:-//hacksw/handcal//NONSGML v1.0//EN METHOD:PUBLISH BEGIN:VEVENT DTSTAMP:20240329T081053Z DESCRIPTION:Click for Latest Location Information: http://edw2019.dataversi ty.net/sessionPop.cfm?confid=126&proposalid=10213\n
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 END:VEVENT END:VCALENDAR