Geheugen als bottleneck: hoe Pandas, Dask en Polars miljoen records verwerken

Data engineers face memory constraints when processing large datasets, but tools like Pandas chunking, Dask, and Polars offer solutions to handle millions of records without requiring additional computing resources. These approaches enable efficient data processing by optimizing how information is loaded and managed during analysis.