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DESCRIPTION:Click for Latest Location Information: http://edw2020chicago.da
 taversity.net/sessionPop.cfm?confid=143&proposalid=12282\nData governance (
 DG) is the overall management of the availability, usability, integrity, an
 d security of data used in an enterprise. A sound data governance program i
 ncludes a governing body or council, a defined set of procedures, and a pla
 n to execute those procedures. To obtain a low Total Cost of Ownership
  (TCO) and a significantly reduced LOE and TTM and, of course, a 
 rapid ROI of the automation of the data governance procedures, the use of l
 icense-free, open-source, world-tested, highly scalable components is sugge
 sted as the constituents of the automation implementation. Regardless 
 of the complexity of an organization’s data governance program, a str
 eaming data plane can be built and extended to become the complete automati
 on of the data governance program. This data plane, implemented with o
 pen-source components and commodity programming languages and skills, can b
 e deployed as highly scalable microservices.  Using components, DAMA K
 nowledge Areas of Data Governance can be operational in production in as li
 ttle as one to three labor months (4 to 12 business weeks). 
  \nThe purpose of this talk is not to present academic concepts but to
  show attendees how to automate their data governance program in the shorte
 st time with the greatest results possible using the appropriate “inc
 ubation” methodology, open-source components, microservices structure
 , and the docker and Kubernetes deployment entities.\n
DTSTART:20201021T113500
SUMMARY:Automating Data Governance Processes with Open Source
DTEND:20201021T122459
LOCATION: See Description
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