Stop Tuning Spark Configs. Fix Your Data Model

The 90% of slowness no executor setting can touch

Every Databricks team that hits a slow pipeline reaches for the same lever first. Shuffle partitions. Executor memory. AQE thresholds. The cluster config screen.

And most of them are tuning the one part of the system that was never the bottleneck.

I’ve watched teams burn three weeks bisecting spark.sql.shuffle.partitions, swapping instance types, and argu…