Databricks Implementation Labs: Syllabus

This syllabus outlines the 15 beginner-friendly, hands-on labs designed to apply the theory learned in the core course. Each lab uses real-world analogies and pedagogical frameworks.

Part 1: Core Spark & Delta Lake

• Lab 01: Advanced PySpark & Spark SQL
• Lab 02: Spark Internals & Catalyst Optimizer
• Lab 03: Structured Streaming & Auto Loader
• Lab 04: Delta Lake Advanced Operations
• Lab 05: CDC and SCD Implementation

Part 2: Platform Engineering & MLOps

• Lab 06: Lakeflow & DLT (Bronze to Gold)
• Lab 07: Unity Catalog & Governance SQL
• Lab 08: Orchestration, CI/CD & DABs
• Lab 09: Testing & Monitoring
• Lab 10: MLflow & MLOps Expansion

Part 3: The Principal Architect Series

• Lab 11: Deep Spark UI & Memory Tuning
• Lab 12: Legacy to Lakehouse Migration Playbook
• Lab 13: Generative AI and Vector Search
• Lab 14: Infrastructure as Code with Terraform
• Lab 15: Edge Cases & Concurrency Control

---

Syllabus | Next: Lab 01: Advanced PySpark & Spark SQL →**