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DTSTAMP:20260420T072305Z
DESCRIPTION:Click for Latest Location Information: http://edw2020.dataversi
 ty.net/sessionPop.cfm?confid=128&proposalid=11642\n<p>Despite all of the am
 azing technical advancements of the last few decades, the high-tech industr
 y, including data science,&nbsp;is still in its early infancy. As advances&
 nbsp;in machine learning and other data-hungry systems continue, issues of 
 security and privacy loom ever larger.</p>\n<p>This course is designed to t
 each data practitioners key principles and tools for creating data architec
 tures that provide the necessary security and privacy for modern applicatio
 ns.</p>\n<p>Topics covered include:</p>\n\n
 &nbsp; How the bad guys infiltrate your system and exfiltrate data\n
 &nbsp; Isolating data for maximum protection\n
 &nbsp; Identifying, managing, and protecting PII\n
 &nbsp; Privacy-preserving operations on data\n
 &nbsp; Inference controls in database queries\n\n<p>The goal of this course
  is not to convert the data architect into a security officer. Rather, it i
 s to help data architects partner with their security officers in creating 
 an effective system that protects data while still enabling effective use o
 f data by authorized parties.</p>
DTSTART:20200326T141500
SUMMARY:S5: Securing Your Data Assets
DTEND:20200326T172959
LOCATION: See Description
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