Data skew in Apache Spark is a performance issue where a few keys dominate the data distribution, leading to uneven partitions and slow queries, especially during operations that require shuffling.
Scala case classes simplify data modeling by providing automatic constructor parameters, built-in equality methods, and pattern matching support, significantly reducing boilerplate code.