The problem with "just add more workers" Most Spark performance issues on Databricks aren't solved by scaling the cluster — they're caused by shuffle and skew , and no amount of extra nodes fixes a badly partitioned join. This post builds a realistic pipeline (order events joined against a small...
Source: [Dev.to](https://dev.to/jubinsoni/spark-performance-deep-dive-on-databricks-shuffle-tuning-skew-handling-and-z-ordering-with-delta-29ko)