Petl

Powerful Python library for data manipulation and analysis, offering DataFrame structures for efficient data cleaning, transformation, and analysis. Often used in the transform phase of ETL processes.

Python API for Apache Spark, enabling scalable and efficient data processing. Particularly useful for ETL processes involving large datasets that need parallel processing across a cluster.

Python library that facilitates the loading phase in ETL processes. Designed to simplify loading data into various data stores or processing systems.