What Actually Happens When You Run a Spark Job?

Apache Spark enables efficient processing of large datasets by distributing tasks across multiple CPU cores and machines. Its architecture includes components like Drivers, Executors, and Cluster Managers that coordinate parallel execution of data processing jobs. Understanding these elements is key to optimizing Spark-based data pipelines.