This article explains the concept of Slowly Changing Dimensions (SCD) in data warehouses, compares six common SCD handling methods—including SCD0, SCD1, SCD2, SCD3, combined SCD2+SCD3, and historical tables—and guides you on selecting the most suitable approach for your business needs.
This article explains the role of dimension tables in data warehouses, compares natural and surrogate keys, and details three strategies—overwrite, insert new rows, and add new attributes—for managing slowly changing dimensions, including full‑snapshot tables.
This article explains the concept of historical chain (slowly changing dimension) tables in data warehousing, demonstrates how to create source and target tables, provides a PL/pgSQL stored procedure to handle inserts, updates, and deletions, and shows step‑by‑step testing with sample SQL scripts.
This article explains data‑warehouse dimensional modeling, covering the basic concepts of dimension and fact tables, the three main schema patterns—star, snowflake, and constellation—along with their advantages, implementation steps, and handling of slowly changing dimensions.
