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Normalization vs Denormalization

Last updated by Simon Späti

Normalization vs. Denormalization is explained best in the image below:


This illustration effectively demonstrates how different modeling techniques operate. It’s a visual guide to understanding these concepts in practice. Source: GitHub - Data-Engineer-Camp/dbt-dimensional-modelling

Additional insights into Data Modeling Techniques can be found in my Tweet, discussing:

  • Enterprise Data Warehouse (Inmon): A subject-oriented, integrated, time-variant, and non-volatile collection of data.
  • Star Schema (Kimball): A simple database schema used in data warehousing and business intelligence reporting.
  • Data Vault: As mentioned, a detail-oriented, historical tracking method.
  • One Big Table (OBT): A simplistic, non-normalized, single table approach to data modeling. !


Source: Data Modeling in the Modern Data Stack | Towards Dev


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Created 2024-01-20