Data governance (DG) is the overall management of the availability, usability, integrity, and se curity of data used in an enterprise. A sound data governance program inclu des a governing body or council, a defined set of procedures, and a plan to execute those procedures. To obtain a low Total Cost of Ownership&nbs p;(TCO) and a significantly reduced LOE and TTM and, of course, a rapi d ROI of the automation of the data governance procedures, the use of licen se-free, open-source, world-tested, highly scalable components is suggested as the constituents of the automation implementation. Regardless of t he complexity of an organization’s data governance program, a streami ng data plane can be built and extended to become the complete automation o f the data governance program. This data plane, implemented with open- source components and deployed as highly scalable microservices, can be ope rational in production in as little as two to three labor months (eight&nbs p;to 12 business weeks).
\nThe purpose of this talk is no t to present academic concepts but to show attendees how to automate their data governance program in the shortest time with the greatest results poss ible using the appropriate “incubation” methodology, open-sourc e components, microservices structure, and the docker and Kubernetes deploy ment entities.
\n DTSTART:20200325T120000 SUMMARY:Automating Data Governance with Open-Source Components and the Incu bation Methodology DTEND:20200325T125959 LOCATION: See Description END:VEVENT END:VCALENDAR