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What is MapReduce and why is it better than earlier MPP architecture?
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MapReduce is an algorithm to process huge amount of data in parallel. It divideds a given task into Map and Reduce pahses, runs many map tasks in parallel and send the output to a single Reducer where output from all map tasks are aggregated and returned to the client application. Map Reduce works on data locality concepts hence it is better than MPP (Massively Parallel Processing) Architecture.
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