Modern Data Engineering with Apache Spark: A Hands-On Guide to Slowly Changing Dimensions (SCD)

Slowly Changing Dimensions are critical for preserving historical accuracy in analytics. This guide walks through SCD Types 0–6 and shows how Spark and Databricks implement scalable, automated workflows for real-world customer-dimension changes.