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DTSTAMP:20260308T042530Z
DESCRIPTION:Click for Latest Location Information: http://edw2019.dataversi
 ty.net/sessionPop.cfm?confid=126&proposalid=10527\n<p>Businesses demand imm
 ediate responses and answers which in turn can only be satisfied with real-
 time and near-real-time time data analytics. Modern analytics requires mult
 iple, continuous streaming data flows and the integration of multiple data 
 pipelines. This ability to find, manage and deliver the right data in real-
 time is now the de facto assumption for modern analytics success. The abili
 ty to build and integrate a powerful streaming data infrastructure has enor
 mous business benefits, including rapid testing and iteration of marketing 
 programs and enabling machine learning at speed and at scale.</p>\n<p>How d
 o data architects respond to these demands and what expertise can they brin
 g to these new real-time design requirements? This session will explain the
  components of a streaming data ecosystem, and how to transition from exist
 ing legacy environments to the demands of real-time analytics.</p>\n<p>&nbs
 p;</p>\n
DTSTART:20190318T180000
SUMMARY:Building a Streaming Analytics Capability: A Data Architect’s Guide
DTEND:20190318T185959
LOCATION: See Description
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