Description
Processes tabular data in Python with a fast DataFrame engine built around Apache Arrow concepts. It helps data workflows filter, join, group, aggregate, and transform datasets efficiently.
Large data jobs can consume significant memory and may include private records. Check lazy/eager execution choices, file sources, and exported outputs before using it in production pipelines.