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DataFrames are a more structured way to work with data in Spark. They are similar to tables in a relational database or data frames in Pandas. They provide a schema, allowing Spark to optimize data processing. DataFrames offer a higher-level API, making it easier to perform data manipulation operations like filtering, grouping, and aggregation. They support both structured and semi-structured data formats.
