Running Billion-Scale Graph Algorithms in Just 10GB of RAM with DataFusion

A developer demonstrates how to run graph algorithms on billion-scale data using only 10GB of RAM, highlighting the capabilities of the DataFusion query engine. The post showcases an efficient approach to large-scale graph processing, making it relevant for data engineers working with memory-constrained environments.

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