BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//hacksw/handcal//NONSGML v1.0//EN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260606T101347Z
DESCRIPTION:Click for Latest Location Information: http://edw2020.dataversi
 ty.net/sessionPop.cfm?confid=128&proposalid=11710\n<p>Data architecture is 
 a challenging and sometimes confusing field&nbsp;that has become more diffi
 cult with advances in modern analytics and rapid&nbsp;expansion of analytic
 s use cases. It is confusing because data architecture&nbsp;means different
  things to different people and there are many&nbsp;kinds and levels&nbsp;o
 f data architecture &ndash;&nbsp;enterprise architecture, technical archite
 cture, etc. This&nbsp;session focuses on data management&nbsp;architecture 
 with attention to the&nbsp;processes, data stores, data flows, etc. needed 
 to collect, organize,&nbsp;harmonize, analyze, and utilize data to&nbsp;bus
 iness advantage.<br />\n<br />\nNearly every organization today is facing t
 he need to rethink and&nbsp;refresh their data architecture, yet most organ
 izations continue to work with&nbsp;turn-of-the-century architecture from t
 he BI era. Patching new components onto&nbsp;the surface of obsolete archit
 ecture &ndash;&nbsp;a band-aid and duct&nbsp;tape approach &ndash;&nbsp;is 
 not&nbsp;sustainable and does a poor job of supporting modern analytics use
  cases.&nbsp;Still, many avoid stepping up to modern&nbsp;data architecture
  because it is complex&nbsp;and difficult. Join us to learn a four-step app
 roach to manage the complexities&nbsp;and overcome the&nbsp;difficulties of
  modern data architecture.<br />\n<br />\nYou will learn:</p>\n\n
 About the pressing need to&nbsp;modernize data architecture\n
 To understand problems with old BI&nbsp;architecture in the age of modern a
 nalytics\n
 To overcome the complexities and&nbsp;challenges of defining data architect
 ure\n	How to begin with a look at needed&nbsp;business capabilities\n
 How to translate business&nbsp;capabilities into representative analytics u
 se cases\n
 How to apply business capabilities&nbsp;and analytics use cases to identify
  needed data capabilities\n
 How to adapt a reference&nbsp;architecture as your custom data management a
 rchitecture for modern analytics\n
 How to test and validate your data&nbsp;management architecture\n\n
DTSTART:20200323T133000
SUMMARY:PM6: Four Steps to Data Architecture for Modern Analytics
DTEND:20200323T164459
LOCATION: See Description
END:VEVENT
END:VCALENDAR