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Feb 23 in Big Data | Hadoop
Q:

Explain how do ‘map’ and ‘reduce’ works.

1 Answer

Feb 23

Namenode takes the input and divide it into parts and assign them to data nodes. These datanodes process the tasks assigned to them and make a key-value pair and returns the intermediate output to the Reducer. The reducer collects this key value pairs of all the datanodes and combines them and generates the final output.

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