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A runnable blueprint for high-volume vehicle analytics on a single node - DuckDB/Polars over partitioned Parquet, a query-time delta overlay instead of nightly rebuilds, reproducible benchmarks. No cluster, £0 cloud compute.
“Use Spark when the data is big” contains no number. Benchmarks PySpark against pandas, Polars and DuckDB to find where the crossover actually is, and does not find one anywhere a single machine can reach.