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DESCRIPTION:Click for Latest Location Information: http://edw2023digital.da
 taversity.net/sessionPop.cfm?confid=155&proposalid=14154\nMany companies to
 day are facing the complexity of governing data that is scattered across mu
 ltiple types of data stored on-premises, in multiple clouds, in SaaS applic
 ations, and at the edge. Somehow, they have to know what data they have out
  there, where it is, what data is deemed personally identifiable informatio
 n, what data is considered confidential versus internal use only versus pub
 lic, and how to manage data privacy, data access security, data loss preven
 tion, data sharing, data usage, data retention, and data quality across the
  entire environment.\n\nAlso, it is not just structured data in files and d
 atabases that needs to be governed. What about office documents on laptops 
 and file shares, SharePoint sites, email, web chat, and meetings? Some subs
 ets of these may be considered confidential. In an era where data protectio
 n is critical, and data privacy may require compliance with multiple laws i
 n different regions, countries, and states, the challenge is now to be able
  to govern data across a distributed landscape.\n\nThis session looks at th
 is problem, defines the requirements to deal with it, and looks at what is 
 needed from an organizational, process, policies, and technology perspectiv
 e to solve it.\n\n
 Data governance redefined - Data Quality, data privacy, data access securit
 y, data loss prevention, data sharing, data usage, and data retention\n
 The ever-increasing distributed data landscape - multiple types of data sto
 red from on-premises to the edge\n
 The challenge of governing data in this kind of environment\n
 The need for multiple Data Governance classification schemes in order to go
 vern data\n
 Implementing governance classification across office document stores and st
 ructured data stores in a distributed data landscape\n
 The role of the data catalog\n
 Training classifiers for automatic classification of structured and unstruc
 tured data\n
 Centrally defining policies and rules to govern distributed data\n
 Enforcing governance policies and rules across a distributed data landscape
  using governance workflows\n	Implementation challenges\n\n
DTSTART:20230327T113000
SUMMARY:T5: Centralized Data Governance of a Distributed Data Landscape
DTEND:20230327T142959
LOCATION: See Description
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