An Overview of Parallelism and Java Parallel Streams

This video begins our coverage of Java Parallel Streams, which provides performance optimizations for the the Java Sequential Streams covered in earlier videos. I underscore the ease of transitioning from sequential to parallel streams, often requiring only minor code adjustments. Parallel streams leverage multiple threads from Java's common Fork-Join pool for concurrent data processing. To avoid concurrency hazards, I emphasize the importance of using stateless behaviors in intermediate operations like map() and filter(). I also note that while the transition to parallelism is often simple, care must be taken to properly synchronize any stateful behaviors to maintain thread safety.