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Can anyone explain paired RDD in Spark?

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Paired RDD in Spark is an RDD with the distributed collection of objects containing key-value pairs. Paired RDDs is a very powerful data structure because it supports to act on each key operation in parallel or re-group data across the network. There are many transformation operations for paired RDDs also called Paired RDDs operations. We can use transformations on RDD for performing aggregation, grouping, joining, and sorting operations.

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You can watch this video on RDD tutorial to learn more about paired RDD and paired RDD operations:

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