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.