RDD
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May 1, 2024
Updated June 22, 2025
17 minute read
Understanding Resilient Distributed Datasets (RDDs)
Resilient Distributed Datasets, commonly known as RDDs, are a fundamental data structure in Apache Spark. At a high level, an RDD is an immutable, distributed collection of objects that can be processed in parallel across a cluster of computers. Think of it as a special kind of list or collection, but one that is spread out over many machines and can automatically recover from failures. This makes RDDs particularly well-suited for large-scale data processing tasks.
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