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DTSTAMP:20260511T023952Z
DESCRIPTION:Click for Latest Location Information: http://edw2018.dataversi
 ty.net/sessionPop.cfm?confid=121&proposalid=9408\n<p>The software industry 
 has advanced from releasing software every 6-12 months to every 10 seconds 
 - more than a 1 million times improvement!&nbsp; In this session, learn how
  to apply the lessons learned from developing software to producing data wa
 rehouses, analytics and models &ndash; learn DataOps.&nbsp; This workshop t
 eaches analytic teams how to deliver insights quickly, with high quality us
 ing the tools they love.</p>\n<p>In this workshop, you will learn seven&nbs
 p;concepts:</p>\n<ol>\n
 <strong>Agile Landscape</strong>: What makes Analytics particularly challen
 ging\n
 <strong>Introduction to DataOps and Agile</strong>: How people, tools, code
 , and process interact and how to change your mindset\n
 <strong>Seven Steps to DataOps</strong>: Seven Shocking Steps needed to imp
 lement the technical environment to support DataOps and an Agile process\n
 <strong>Pharma Launch Case Study: </strong>Learn teams, timing, and tools u
 sed to support high-velocity analytics during a product launch\n
 <strong>Data Lakes: </strong>Learn Data Lake best worst practices\n
 <strong>How to Measure</strong>: Review various metrics to gauge the effect
 iveness of your operations\n
 <strong>How to Categorize</strong>: Consider how to bucket your data into&n
 bsp;Analytic Assets, Enterprise Assets, and Non-Essential Assets to gain sp
 eed and save work\n</ol>\n<p>This session will be interactive with group ex
 ercises, and you&#39;ll get to know other participants.</p>\n<p>&nbsp;</p>\
 n
DTSTART:20180423T133000
SUMMARY:How to Deliver Your Data Warehouse, Lake, and Analytics at Amazon S
 peed with #DataOps
DTEND:20180423T164459
LOCATION: See Description
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