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Tag Archives: oreilly

chum in the waterOne more post on MapReduce and parallel SQL, this time for the folks at O’Reilly Radar.  

Just for the record, I think MapReduce is fine, but not especially interesting technology.  The thing is, the “teachable moment” it presents is really great stuff, because it is bringing people toward data-centric parallel programming.  So it’s good for the data-centric research business in general, and especially for data-centric approaches to parallelism.  

I.e. chum in the water for our research on Lincoln…

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