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DESCRIPTION:Click for Latest Location Information: http://edw2023fall.datav
 ersity.net/sessionPop.cfm?confid=157&proposalid=14525\nDataOps is a set of 
 practices that focus on improving the speed, quality, and reliability of da
 ta delivery in an organization. It combines the principles of Agile develop
 ment, DevOps, and Lean manufacturing to create a streamlined, automated, an
 d collaborative approach to data management.\n\nJoin us as we review the fo
 llowing:\n\n	What is DataOps?\n
 Difference between DevOps and DataOps\n
 Skills needed to be a good Data Engineer\n
 How to build an effective DataOps team\n	Common use cases for DataOps\n
 What a DataOps solution looks like\n
 How will it impact various roles (Management, Modeler, Analyst, or Enterpri
 se Architect)\n	Case study and lessons learned\n\n
DTSTART:20230919T101500
SUMMARY:Accelerating Data Management with DataOps
DTEND:20230919T105959
LOCATION: See Description
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