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DTSTAMP:20260308T045240Z
DESCRIPTION:Click for Latest Location Information: http://edw2019.dataversi
 ty.net/sessionPop.cfm?confid=126&proposalid=10183\n<p>A new section was rec
 ently added to the DMBOK to highlight the importance of Data Integration an
 d Interoperability. Though there are several approaches to this topic, this
  session will focus on Data Virtualization.&nbsp;</p>\n<p>Data Virtualizati
 on is one of the many topics a data professional should understand, especia
 lly taking into consideration:</p>\n<p>1.&nbsp; &nbsp; SOA/Microservices ar
 chitectures are becoming more popular&nbsp;<br />\n2.&nbsp; &nbsp; The valu
 e of consolidating data hubs for Big and structured data<br />\n3.&nbsp; &n
 bsp; Delivers fast value and promotes more frequent iterations&nbsp;<br />\
 n4.&nbsp; &nbsp; New data sources and types should be quick &amp; easy<br /
 >\n5.&nbsp; &nbsp; Less time in ETLs, more in QA &amp; analytics</p>\n<p>Un
 derstanding virtualization and knowing when to apply it is critical for any
  data professional. This presentation goes over Data Virtualization guideli
 nes, architectures that make sense for organizations, tools, and cost assoc
 iated with this practice, and what are some common pitfalls to avoid when i
 mplementing a data virtualization solution.</p>\n
DTSTART:20190319T101500
SUMMARY:Data Integration: Interoperability and Virtualization
DTEND:20190319T111459
LOCATION: See Description
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