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Hadoop MapReduce

Hadoop MapReduce (Hadoop Map/Reduce) is a software framework for distributed processing of large data sets on compute clusters of commodity hardware. It is a sub-project of the Apache Hadoop project. The framework takes care of scheduling tasks, monitoring them and re-executing any failed tasks. 

According to The Apache Software Foundation, the primary objective of Map/Reduce is to split the input data set into independent chunks that are processed in a completely parallel manner. The Hadoop MapReduce framework sorts the outputs of the maps, which are then input to the reduce tasks. Typically, both the input and the output of the job are stored in a file system.

Also see Apache Hadoop and Hadoop Distributed File System (HDFS).

Top 5 Hadoop Related Questions

1. What is Apache Hadoop?
2. What is Hadoop MapReduce?
3. What is HortonWorks?
4. What is Hadoop Distributed File System?
5. What is unstructured data?







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