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SEP 7, 2012 4:25pm ET

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Big Data Quality: Persistence vs. Disposability

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We last spoke about how to reboot our thinking on master data to provide a more flexible and useful structure when working with big data. In the structured data world, having a model to work from provides comfort.

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Comments (3)
Cindy,

I agree that tools need to meet scalability requirements. We also need to take the perspective of what information actually needs to go through processing. I think there is still a balance to be struck on when you bring out the big engines and when the engine is good enough. I also think there is "big" hype, and to your point the tools that win are those that are truly scalable and added to this, those that are flexible to meet various data data structures and environments.

-M

Posted by Michele G | Wednesday, September 12 2012 at 9:51PM ET
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Are you actively evaluating master data management technologies and their ability to scale and support emerging trends around big data, social and mobile?

Yes 61%
No 23%
Don't Know 9%
Not Applicable 6%

 

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