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Explain MapReduce in Hadoop. |
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Answer» MapReduce is a programming MODEL and software framework for processing large volumes of data. MAP and Reduce are the two phases of MapReduce. The map TURNS a set of data into another set of data by breaking down individual elements into TUPLES (key/value pairs). Second, there's the reduction job, which takes the RESULT of a map as an input and condenses the data tuples into a smaller set. The reduction work is always executed after the map job, as the name MapReduce suggests. |
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