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DTSTAMP:20260316T183825Z
DESCRIPTION:Click for Latest Location Information: http://das2018.dataversi
 ty.net/sessionPop.cfm?confid=124&proposalid=10072\n<p>Data warehouses are y
 our view of the past; data lakes are your glimpse into the future. Learn ho
 w incorporating a data lake into your ecosystem enables higher-level analyt
 ics that predict&nbsp;trends, reveal customer sentiment, and serve as a fou
 ndation for the use of AI and machine learning.</p>\n<p>To gain insights fr
 om large amounts of data, you first need to capture and store that data eff
 iciently. This session will describe how a data lake does that with batch, 
 transactional, or streaming data. Then follow the data as it fuels consumer
  systems and applications that define digital transformation.</p>\n<p>Topic
 s will include:</p>\n\n
 Benefits of a data lake &ndash; data lakes vs. data warehouses\n
 Structure of a data lake\n	Data lakes and Hadoop\n
 Adding a data lake to your existing ecosystem\n
 Building a business case\n\n
DTSTART:20181008T130000
SUMMARY:Enterprise Data Lake Architecture
DTEND:20181008T161459
LOCATION: See Description
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