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DESCRIPTION:Click for Latest Location Information: http://edw2017.dataversity.net/sessionPop.cfm?confid=103&proposalid=9703\nMany organizations are ready to take advantage of data lakes to store more data at a fraction of the cost. Data Lakes promise organizations that they will be able to magically integrate data with a fraction of the work. Almost all promoters of data lakes have been cavalier about the need to manage the quality of data in such environments. But data quality always matters. Gartner reports that data lakes carry "substantial risks," the most important of which is the "inability to determine the quality of data." This presentation will present a case study of how Cigna, a major health care insurer, is approaching this challenge. Participants will learn: \n\nRisks of ignoring data quality in data lakes\nThe role of ingestion engines in managing data quality in a data lake\nHow to assess data lake data quality\nThe benefits of managing data quality upfront
DTSTART:20170405T114500
SUMMARY:Big Data Quality
DTEND:20170405T122959
LOCATION: See Description
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