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How is RDD in Apache Spark different from Distributed Storage Management?
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Answer / Himanchal
RDD (Resilient Distributed Dataset) in Apache Spark is a distributed collection of data that can be cached in memory for reuse, while Distributed Storage Management refers to the process of managing and organizing data across multiple computers in a distributed computing environment. RDDs are an abstraction on top of distributed storage management systems, providing a unified programming interface for various data sources.
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