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Why do we need rdd in spark?

Question Posted / Pradeep Singh

Answer Posted / Pradeep Singh

Resilient Distributed Datasets (RDD) is a fundamental data structure in Apache Spark, used for distributing data across a cluster. It provides fault tolerance by automatically recovering from node failures, and can be transformed into various types of structured data. RDDs allow developers to work with distributed datasets using high-level transformations and actions.

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