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What is the contrast between RDD, DataFrame and DataSets?
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Answer / Jabir Husain
RDD (Resilient Distributed Datasets) is Spark's fundamental data structure, providing distributed collections of immutable data. DataFrames are a higher-level abstraction built on top of RDDs, offering support for SQL queries and easy manipulation with Schema objects. DataSets are Scala APIs equivalent to PySpark's DataFrames.
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