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What is the difference between a DataFrame and a Dataset in Spark SQL?

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A Dataset is a type-safe, object-oriented programming interface that represents a distributed collection of data in Spark. It extends the functionality of a DataFrame by adding a type-safe, functional programming API. A DataFrame, on the other hand, is a Spark SQL data structure that provides a more flexible and convenient way to process structured data.

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