How classic Kimball design techniques — beyond facts and SCD2 — still add value in a model-driven, business-friendly methodology.
Summary — Key Takeaways
Kimball’s dimensional modeling patterns remain a rich toolkit — from fact table types and conformed dimensions to hierarchy handling and surrogate keys.
Facts and dimensions still matter — but must be enhanced with dual SCD2 historization and stable Access Views.
Patterns such as role-playing dimensions, accumulating snapshots, conformed dimensions, degenerate/junk dims, and bridge tables integrate well with a model-driven, time-aware pipeline.
The goal is not to rebuild classic warehouses, but to adapt proven design ideas for reproducible, semantic, and AI-friendly data platforms.
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