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The Types of Dimensions in a Star Schema, and How to Use Them

Towards Data Science Salvatore Cagliari August 21, 2026
The Types of Dimensions in a Star Schema, and How to Use Them
AI Summary— plain English for professionals

# Understanding Star Schemas: A Guide to Organizing Business Data When companies organize their data for reporting and analysis, they use a structure called a "star schema" that groups information into two main categories: facts (the actual numbers and events) and dimensions (the descriptive details that help explain those numbers). Different types of dimensions serve different purposes—some describe what happened, others describe when or where it happened—and knowing which type to use helps ensure your data is organized logically and can answer business questions efficiently. This matters because good data organization saves time when you're trying to understand sales trends, customer behavior, or any other business metric that matters to your company.

Dimensions are one of the two main object types in dimensional modelling. But what are the different types of dimensions? And how can you use them? The post The Types of Dimensions in a Star Schema, and How to Use Them appeared first on Towards Data Science.

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