Answer / Hirawan Lal

Paired RDD (Resilient Distributed Datasets) is a type of RDD used for handling data with associated keys and values in Apache Spark. A paired RDD consists of two sets of data – one set contains the keys, while the other set contains the corresponding values.nnFor example, if we have a dataset of employee information, the keys could be the employee IDs, and the values could be the employee attributes like name, age, and salary. Paired RDDs are useful for operations that require joining data on keys.

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