How do we chain multiple joins together to combine orders with customers and products in a single pipeline?
Chaining sequential join() calls to link transactional facts with multiple dimension tables.
Star-schema dimension lookups, sales analytics marts, and generating unified reporting datasets.
analytics_df = orders \
.join(customers, "customer_id", "inner") \
.join(products, "product_id", "inner")Practice typing production-grade PySpark code for Multi-Table Relational Joins.