Map/Reduce

Map/Reduce

MapReduce is a programming model used for processing large datasets in a distributed computing environment. HBase, a distributed NoSQL database, integrates with MapReduce to enable efficient processing of data stored in HBase.

In HBase, MapReduce is used for tasks such as importing data from external sources into HBase or exporting data from HBase to other systems. It is also used for tasks such as aggregating data, filtering data, and performing various computations on large datasets.

MapReduce under HBase works by dividing a large dataset into smaller chunks called “splits” and distributing them across the nodes in the Hadoop cluster. Each node processes its assigned split and produces intermediate results, which are then combined to produce the final output. HBase provides APIs for MapReduce programming, which allows developers to write MapReduce jobs in Java or other programming languages. These jobs can be executed on a Hadoop cluster that is integrated with HBase, allowing for efficient processing of large datasets stored in HBase.

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