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DTSTAMP:20260514T062927Z
DESCRIPTION:Click for Latest Location Information: http://edw2021.dataversi
 ty.net/sessionPop.cfm?confid=133&proposalid=12844\nData architecture is a c
 hallenging and sometimes confusing field that has become more difficult wit
 h advances in modern analytics and rapid expansion of analytics use cases. 
 It is confusing because data architecture means different things to differe
 nt people and there are many kinds and levels of data architecture – 
 enterprise architecture, technical architecture, etc. This session focuses 
 on data management architecture with attention to the processes, data store
 s, data flows, etc. needed to collect, organize, harmonize, analyze, and ut
 ilize data to business advantage.\nNearly every organization today is facin
 g the need to rethink and refresh their data architecture, yet most organiz
 ations continue to work with turn-of-the-century architecture from the BI e
 ra. Patching new components onto the surface of obsolete architecture &ndas
 h; a Band-Aid and duct tape approach – is not sustainable and does a 
 poor job of supporting modern analytics use cases. Still, many avoid steppi
 ng up to modern data architecture because it is complex and difficult. Join
  us to learn a four-step approach to manage the complexities and overcome t
 he difficulties of modern data architecture.\nYou will learn:\n\n
 About the pressing need to modernize data architecture\n
 To understand problems with old BI architecture in the age of modern analyt
 ics\n
 To overcome the complexities and challenges of defining data architecture\n
 How to begin with a look at needed business capabilities\n
 How to translate business capabilities into representative analytics use ca
 ses\n
 How to apply business capabilities and analytics use cases to identify need
 ed data capabilities\n
 How to adapt a reference architecture into your custom data management arch
 itecture for modern analytics\n
 How to test and validate your data management architecture\n\n
DTSTART:20210419T080000
SUMMARY:T3: Four Steps to Data Architecture for Modern Analytics
DTEND:20210419T105959
LOCATION: See Description
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