04 | Apache Spark Architecture Explained
Lets understand the architecture of Apache Spark using a simple real-life analogy that makes it easy to understand. You’ll learn how Spark components work together to process big data in parallel.
What you’ll learn:
Spark components explained: Client, Driver, Cluster Manager, Executors
How Spark distributes and executes tasks in parallel
Spark Context and its role in execution
Driver node vs Worker node
Types of Cluster Managers: Standalone, YARN, Mesos, Kubernetes
By the end, you’ll have a clear and beginner-friendly understanding of how Spark works internally and how tasks flow from code to execution.
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