Apache Spark Architecture Explained Driver, Executors, DAGs, Stages & Tasks

Learn Apache Spark architecture in a simple visual way. In this video, we explain the most important Spark concepts: Driver, Cluster Manager, Executors, Jobs, Stages, Tasks, DAGs, Partitions, CPU, and Memory. 00:00 Spark Architecture - The Big Picture (How the driver, cluster manager, and executors work together) 02:08 Driver, Cluster Manager and Executors (Who does what inside a Spark application) 03:38 From Code to Job, Stage and Task (How Spark break work into smaller units) 04:55 Understand the DAG (The Directed Acyclic Graph behind Spark execution) 06:13 Partitions and Parallelism (Why Spark can process big data quickly) 07:32 CPU and Memory in Spark (How resources affect performance) 09:29 End-to-End Spark Execution Example (Putting all key concepts together)