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Data Governance for Big Data

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Data lifecycle management – Big data needs lifecycle management principles too. Enterprises must to define the length of time for which the data is needed online and then define the archiving and storage strategies for this data post-consumption. Even platforms like Hadoop provide a mechanism for reducing the burden of a large volume of data being in the “namenode.”

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Comments (2)
The article is brilliant! With the initiative (pilot) well on its way in the company (and Data Governance left out) I've tried to view it from another angle - "so what do you do with the big data analysis/results" - "who does the data belong to...should you need to do something about it?" etc. The article makes sense, we get to reuse the Data Governance model which will bring familiarity and added confidence to the business as well!
Posted by Vanessa E | Wednesday, March 05 2014 at 4:44PM ET
Even before establishing the kind of data structure, the volume to be acquired or the data stewards and analysts who are going to burn their midnight oils over it, it is important for enterprise leadership to determine the ownership. I have seen several instances from personal experience when C-level execs indulge in turf wars simply over who owns it and what must be the real purpose of the data. Data without purpose is worse that 'stale data' - its 'dead data'.
Posted by Eamon W | Tuesday, July 22 2014 at 2:16PM ET
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