Level 2 · Intermediate

Modules

1. Joins in Spark (Broadcast vs. Shuffle)
2. Window Functions
3. UDFs (and Why to Avoid Them When Possible)
4. Partitioning Strategy
5. Caching & Persistence
6. Spark SQL Basics
7. Combining SQL and DataFrame APIs
8. Handling Nulls & Data Cleaning at Scale
9. Working with Nested & Complex Types
10. Capstone — Multi-Source Join Pipeline