Answer / Gyanu Kumar

Some of the advantages of DataFrames over RDDs in Apache Spark include:

1. Structured data representation: DataFrames provide a structured representation of data, which makes it easier to work with complex, structured data.
2. Optimized query execution: DataFrames can perform optimizations like data pruning and broadcasting, resulting in faster query execution.
3. Built-in SQL support: DataFrames have built-in SQL support, making it easy to perform SQL queries on data.
4. Easy transformation operations: DataFrames provide a higher level of abstraction for commonly used transformations like filter(), map(), and reduce().

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