Capstone Part 4: Dimension Enrichment via Broadcast Join

How can we enrich the deduplicated event stream with customer metadata using a broadcast hash join?

Production⏱ 3 Minutes⭐ 830 XP

🤔 THE QUESTION

How can we enrich the deduplicated event stream with customer metadata using a broadcast hash join?

💡 WHAT IS IT?

broadcast(df_customers) eliminates cluster shuffle overhead when attaching dimension attributes.

🎯 WHAT IS IT USED FOR?

High-performance dimensional enrichment in production analytics pipelines.

💻 EXAMPLE

df_enriched = df_deduped.join(broadcast(df_customers.select("user_id", "tier", "region")), "user_id", "left")

Practice typing production-grade PySpark code for Capstone Part 4: Dimension Enrichment via Broadcast Join.