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Answer Posted / Amar Deep Singh Yadav
Data in Spark is represented as RDDs, DataSets, or DataFrames. RDDs are distributed collections of objects and support both immutable and mutable operations, while DataSets provide a type-safe API for RDDs and are immutable. DataFrames extend DataSets to support structured data with a schema, allowing for easier manipulation and analysis.
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