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* **DataFrames:** DataFrames are the heart and soul of Spark SQL. A DataFrame is a distributed collection of data organized into named columns. Think of it as a table in a relational database, but distributed across multiple machines. DataFrames can be created from a variety of sources, including structured data files (like molly shannon net worth CSV, JSON, Parquet), Hive tables, and even existing RDDs. The DataFrame API provides a rich set of functions for querying, transforming, and manipulating data. It's like having a super-powered spreadsheet that can handle massive amounts of data. You can perform operations like filtering rows, selecting columns, grouping data, and joining multiple DataFrames together.
