How do we combine orders with customer records keeping only rows present in both datasets?
orders.join(customers, 'customer_id', 'inner') retains records matching on the shared customer_id key in both tables.
Connecting transactional records with active entity profiles across relational data models.
joined_df = orders.join(customers, "customer_id", "inner")Practice typing production-grade PySpark code for Inner Join Operations.