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🏞️ Delta Lake Deep Dive Lab

Lab Duration Level

Master Delta Lake features for building reliable data lakes. Learn ACID transactions, time travel, schema evolution, and optimization techniques.

🎯 Learning Objectives

  • ✅ Implement ACID transactions in data lakes
  • ✅ Use time travel for data versioning
  • ✅ Manage schema evolution safely
  • ✅ Optimize Delta tables for performance
  • ✅ Implement CDC patterns with Delta Lake
  • ✅ Build medallion architecture using Delta

⏱️ Time Estimate: 3-4 hours

📋 Prerequisites

  • Completed PySpark fundamentals lab
  • Understanding of data lake concepts
  • Familiarity with Spark DataFrames
  • Synapse workspace with Spark pool

🏞️ Lab Modules

[Lab content with Delta Lake fundamentals, ACID transaction examples, time travel queries, schema evolution patterns, optimization techniques, CDC implementation, and medallion architecture design]

Lab Version: 1.0 Last Updated: January 2025