What mechanism does MapReduce use to optimize the processing of large datasets?
- Data Partitioning
- Data Replication
- Data Serialization
- Data Shuffling
MapReduce optimizes the processing of large datasets through data partitioning. This mechanism involves dividing the input data into smaller partitions, with each partition processed independently by different nodes. It facilitates parallel processing and efficient resource utilization in the Hadoop cluster.
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