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Comment Re:MapReduce = map + reduce (Score 1) 166

But its the distributing part that is special, not the map/reduce part.

You're basically just dividing up a huge list and sending each part to a different machine. Tacked on to each list are the map and reduce functions themselves so each machine knows what to do with the list.

Its the parallelization of the problem that is the hard part. Map does not mean the mapping of the problem to thousands of machines - it means the mapping of a function to a list, and that is not a terribly difficult problem.

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