Getting Started with Scala and Spark | Chapter 0 - Understanding Spark Big Data Architecture 

In this video, we dive into the architecture of Apache Spark using Scala for big data processing. You'll learn how Spark's distributed computing model works, from the driver to workers and how they interact within a cluster environment. We break down the role of each component, explore how Spark executes tasks, and walk through a practical example of a word count application. Whether you're a beginner or looking to solidify your understanding of Spark architecture, this tutorial will help you grasp the concepts needed to harness Spark's power in your big data projects.
Key Topics Covered:
Driver, Workers, and Cluster Managers in Apache Spark
Task scheduling, execution, and resource management
Word Count application using Scala
Spark Execution Flow and DAG (Directed Acyclic Graph)