JUN 24, 2010 4:44am ET

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What SQL Cannot Do

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I recently asked my Twitter followers if they had a good example of queries, business questions that SQL can't do. It turns out a better question is "what SQL can't do easily," so I thought I'd share with everyone what I heard and found.

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Comments (12)
A new category of databases suitable for cloud, namely key value pair based scalable nosql databases, are apt for cloud kind of use cases, where SQL is not apt, and use of SQL would mean compromise on other desirable properties of scalable cloud databases courtesty the CAP theorem

so category of cloud databases is another area where SQL is not very suited.

Posted by Srinivas P | Monday, June 28 2010 at 1:29PM ET
Your column essestially makes the case for the rapid growth in Master Data Management (MDM) programs in so many organizations, coupled with the need for robust dimensional modeling programs and processes.

Dimensional Modeling and formal MDM are intrinsically associated and play a powerful role in resolving the parameter driven issues you raise in your column's remarks. Those issues are a function of gaps in parameters identified and captured (dimensional models) and their integration in a Federated Model using MDM as the means of integration.

Posted by Quincy L | Monday, June 28 2010 at 2:04PM ET
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