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Module 4: Big Data & Spark (The Army of Workers)

📚 Module 4: Big Data & Spark

Course ID: DE-704
Subject: The Army of Workers

As a beginner, you work with data that fits in Excel. As a Senior DE, you handle “Big Data”—billions of rows. We use Apache Spark.

🏗️ Step 1: Parallel Processing (The “Army of Workers”)

🧩 The Analogy: The Great Pizza Party

  1. The Master Chef (The Driver): They coordinate work.
  2. The Workers (The Executors): 100 people in the kitchen making pizzas at the same time.

🏗️ Step 2: Lazy Evaluation (The “Planner”)

Spark doesn’t work until the last second. It builds a Logical Plan first and only runs the “Action” when necessary.

🥅 Module 4 Review

  1. Big Data: Too large for one computer.
  2. Cluster: Many computers working together.
  3. Parallel Processing: Doing tasks at the same time.
  4. Driver: The coordinator.
  5. Executor: The worker.

:::tip Slow Learner Note Spark is the “Army” that makes Big Data small by dividing it up! :::