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| # Usage |
| |
| This section shows how to create DataFusion DataFrames from a variety of data sources like CSV files and Parquet files. |
| |
| You'll learn more about the SQL statements that are supported by DataFusion. |
| |
| You'll also learn about the DataFusion's Python API for querying data. |
| |
| The documentation will wrap up with a variety of real-world data processing tasks that are well suited for DataFusion. The lightning-fast speed and reliable execution makes DataFusion the best technology for a variety of data processing tasks. |
