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DESCRIPTION:Click for Latest Location Information: http://dgiq2023west.data
 versity.net/sessionPop.cfm?confid=152&proposalid=14326\nMany companies toda
 y are facing the complexity of governing data that is scattered across mult
 iple types of data stores on-premises, in multiple clouds, in SaaS app
 lications, and at the edge. Somehow, they have to know what data they have 
 out there, where it is, what data is deemed personally identifiable informa
 tion, what data is considered confidential versus internal use only versus 
 public, and how to manage data privacy, data access security, data loss pre
 vention, data sharing, data usage, data retention, and data quality across 
 the entire environment.\n\nAlso, it is not just structured data in files an
 d databases that needs to be governed. What about office documents on lapto
 ps and file shares, SharePoint sites, email, web chat, and meetings? Some s
 ubsets of these may be considered confidential. In an era where data protec
 tion is critical, and data privacy may require compliance with multiple law
 s in different regions, countries, and states, the challenge is now to be a
 ble to govern data across a distributed landscape. This 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
 res 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:20230605T083000
SUMMARY:T2: Centralized Data Governance of a Distributed Data Landscape
DTEND:20230605T114459
LOCATION: See Description
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