Liam Brannigan – Build simple & scalable data pipelines with Polars & DeltaLake | PyData Global 2024
www.pydata.org
Data scientists in the real world have to manage messy datasets that evolve over time. New data must be added, old data must be removed and changes to columns must be handled gracefully. Furthermore, many real world datasets grow from a size that works on a laptop to a size that must run on a server. This talk will show that in Python we can meet all these challenges in a simple and scalable way using the delta-rs package to manage the data storage and Polars to read and write the dataset.
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