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DESCRIPTION:Click for Latest Location Information: http://edw2022.dataversi
 ty.net/sessionPop.cfm?confid=129&proposalid=13306\nMany companies today are
  facing the complexity of governing data that is scattered across multiple 
 types of data stored in the data center, multiple clouds, and the edge. Som
 ehow, they have to know what data they have out there, where it is, what da
 ta is deemed personally identifiable information, what data is considered c
 onfidential versus internal use only versus public, and how to manage data 
 privacy, data access security, data retention and data quality across the e
 ntire environment. Also, it is not just structured data in files and databa
 ses that need to be governed. What about office documents on laptops and fi
 le shares, SharePoint sites, email, webchat and meetings? Some subset of th
 ese may be considered confidential. In an era where data protection is crit
 ical, and data privacy may require compliance with multiple laws in differe
 nt regions, countries, and states, the challenge is now to be able to gover
 n data across a distributed landscape. This session looks at this problem, 
 defines the requirements to deal with it, and looks at what is needed from 
 an organizational, process, policies, and technology perspective to solve i
 t.\n\n
 Data governance redefined - data quality, data privacy, data access securit
 y, and data retention\n
 The ever increasing distributed data landscape - multiple types of data sto
 red from the data center 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
 \n	Implementation challenges\n
DTSTART:20220321T133000
SUMMARY:Centralized Data Governance of a Distributed Data Landscape
DTEND:20220321T164459
LOCATION: See Description
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