Map-reduce is a programming technique to solve any aggregation-grouping-summation related problem, where we have huge amount of data and try to do the above operation in parallel in no of distributed machines.
In map function/s, we will collect the frequency of data after processing on some subset of data.
In reduce function/s, we will merge and aggregate the intermediate processed data from map function/s and can apply any other statistical formula on the result to make final output.
So the final result from map-reduce is a form of summery of raw data in repository before processing the data with map-reduce framework.
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