Hadoop & Mapreduce
In Hadoop, MapReduce is a computation that decomposes large manipulation jobs into individual tasks that can be executed in parallel cross a cluster of servers. The results of tasks can be joined together to compute final results.
[MapReduce] consists of 2 steps:
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Map Function – It takes a set of data and converts it into another set of data, where individual elements are broken down into tuples (Key-Value pair).
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Reduce Function – Takes the output from Map as an input and combines those data tuples into a smaller set of tuples.
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Work Flow of Program
