Apache Spark Tutorial for Beginners 2025 – Zero to Hero

Contents

• Introduction to Apache Spark: A Beginner Friendly Overview (2025)

• Apache Spark Architecture Made Simple: An Overview of Driver, Executors, DAG & Catalyst

• Spark Session/Context, Driver, and Executors Explained

• Apache Spark DAG: The Hidden Blueprint That Powers Your Petabyte Jobs

• Apache Spark Jobs, Stages & Tasks: The Real Story Behind Every Spark UI Bar

• Operations in Spark: Transformation and Actions (Lazy Evaluation Explained)

• Reading & Writing Data in Apache Spark – CSV, JSON, Parquet, JDBC

• Apache Spark Execution Plans: Deep Dive into Catalyst Optimizer (MUST READ!)

• Structured APIs in Spark - DataFrames, SQL, and Datasets

  • Apache Spark DataFrame Deep Dive: AQEs and real world scenarios

• Catalyst Optimizer & Tungsten Engine – Why Spark is Blazing Fast

• Caching & Persistence – cache(), persist(), and Storage Levels

• Spark Memory Management: Unified Memory Model (COMING NEXT WEEK)

• Repartition vs. Coalesce - Must know differences

• Low-Level APIs in Apache Spark - Understanding RDDs and Shared Variables

  • Spark RDDs Deep Dive 2025: The Immortal Foundation

  • Broadcast Variables & Accumulators – Shared Variables Done Right

• How to Run Spark in Production - Must Knows For Running Your Big Data Applications

  • Running Spark Application on Cluster – Execution Modes and Application Lifecycle

  • Developing Production Grade Spark Application.

  • Pick the Right Cluster Manager: Deploying a Solid Production Ready Spark Application

  • Monitoring Your Spark Application - Post Production Activities

  • Debugging Your Spark Application - This Happens to Everyone

• Performance Tuning in Spark -

  • Apache Spark Performance Tuning Tips and Techniques

  • Factors Affecting the Performance Indirectly

  • Factors Affecting the Performance Directly

• Spark Streaming (Structured Streaming) – Real-Time Processing Made Easy

  • Fundamentals of Structured Streaming - Use Cases, Advantages, Challenges, Design, APIs

  • Basics of Structured Streaming in Spark - Core Concepts & Transformation

  • How to Handle I/O in Structured Streaming

  • Structured Streaming Practices for Production

• Top 50 PySpark Interview Questions and Answers 2025 (with Code)

• PySpark vs Pandas – When to Switch (2025 Comparison)

• Spark RDD vs DataFrame vs Dataset – Complete Guide

• Spark AQE Adaptive Query Execution: Runtime Optimization Framework