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Apache Spark Architecture :A Deep Dive into Big Data Processing

Prem Vishnoi(cloudvala)
Towards Dev
Published in
6 min readFeb 6, 2025

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Agenda

  1. Core Architecture
  2. Key Components
  3. Execution Model
  4. Best Practices
  5. Real-world Applications

What is Spark?

Apache Spark is a powerful framework for big data processing.

It helps process massive datasets by splitting the work across many computers (a cluster) and coordinating tasks to get results efficiently.

Spark’s Basic Architecture

Think of our laptop or desktop computer — it’s great for everyday tasks, but it struggles with huge amounts of data.

A cluster solves this problem by using multiple machines (or nodes) to share the load.

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Published in Towards Dev

A publication for sharing projects, ideas, codes, and new theories.

Written by Prem Vishnoi(cloudvala)

Head of Data and ML experienced in designing, implementing, and managing large-scale data infrastructure. Skilled in ETL, data modeling, and cloud computing

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