MapReduce pattern

MapReduce is a software framework implementation that processes and generates big datasets by applying parallel and distributed algorithms on a cluster infrastructure.

The primary methods of MapReduce are as follows:

  • Map: Responsible for filtering and sorting
  • Reduce: Responsible for operations (for example, counting the number of records)
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