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DTSTAMP:20260420T121752Z
DESCRIPTION:Click for Latest Location Information: http://edw2019.dataversi
 ty.net/sessionPop.cfm?confid=126&proposalid=10351\n<p>Cloud Data Lake is at
  the core of any Modern Data Architecture Strategy.&nbsp;While the data sup
 ply chain tasks associated with the Data Lake such as data acquisition, ing
 estion and storage are significant, it should be noted that the data in a D
 ata Lake is primarily stored in its raw form. This poses a lot of challenge
 s in making the data useful to the consumer community.&nbsp;<br />\n<br />\
 nTypically Business Intelligence Platforms allow internal and external cons
 umers to navigate through the available data in a contextualized manner. In
  order to&nbsp;make the user experience more effective a series of processe
 s needs to be in place. Depending on the industry and the unique needs of a
 n enterprise the processes and their sequences might need to be customized.
  In this session, the audience will learn about Business Intelligence Strat
 egy that describes what&nbsp;the different processes, and their interplay w
 ith the data and technical tools are.&nbsp;</p>\n<p>Use cases from the pres
 enters&#39; recent implementation at E Research Technologies will demonstra
 te the value of these strategies.&nbsp;&nbsp;</p>\n
DTSTART:20190321T083000
SUMMARY:Practical Pathway to Building BI Platforms on a Cloud Data Lake
DTEND:20190321T092959
LOCATION: See Description
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