Comparison of Dataframe libraries for parallel processing of large tabular files on CPU and GPU.
Sumeh — Unified Data Quality Framework Sumeh is a unified data quality validation framework supporting multiple backends (PySpark, Dask, Polars, DuckDB) with centralized rule configuration.
Use PySpark and SparkSQL to execute SQL queries through a temporary view of the DataFrame created. Conduct additional queries on cached and partitioned data to determine runtime comparisons.
Useful helper functions for PySpark dataframe operations
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