What Can We Do When Memory Becomes the New Bottleneck in Data Engineering?
Towards Data Science
The article discusses memory as a growing bottleneck in data engineering, especially when scaling compute is not feasible. It explores solutions like Pandas chunking, Dask, and Polars to efficiently process millions of records. These tools help manage memory constraints by enabling out-of-core or lazy computation.
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