Apache Spark Optimization Production patterns for optimizing Apache Spark jobs including partitioning strategies, memory management, shuffle optimization, and performance tuning. When to Use This Skill - Optimizing slow Spark jobs - Tuning memory and executor configuration - Implementing efficient partitioning strategies - Debugging Spark performance issues - Scaling Spark pipelines for large datasets - Reducing shuffle and data skew Core Concepts 1. Spark Execution Model 2. Key Performance Factors | Factor | Impact | Solution | |--------|--------|----------| | Shuffle | Network I/O, disk I/O…