These store quantitative metrics (measurements) of a business process, such as sale_amount or quantity_sold . They typically contain foreign keys connecting to dimensions.
Choose the descriptive attributes that apply to every row at that grain. The Data Warehouse Toolkit: The Definitive Guid...
"The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling" by Ralph Kimball and Margy Ross is the foundational text for modern data architecture. It popularized the approach, which prioritizes user intuition and query performance over the complex normalization used in traditional operational databases. Core Concepts "The Data Warehouse Toolkit: The Definitive Guide to
The "Kimball Method" focuses on integration, making it the practical choice for agile businesses. It stands in contrast to the Inmon Method , which advocates for a top-down, highly normalized "Enterprise Data Warehouse" first. Most modern cloud data warehouses (like Snowflake or BigQuery) are still optimized to run on the star schemas Kimball pioneered. It stands in contrast to the Inmon Method
Select the numeric measurements that result from the business process.
To prevent "data silos," the toolkit introduces the Data Warehouse Bus Architecture . The "glue" of this architecture is Conformed Dimensions —dimensions (like Date or Product ) that are built once and shared across multiple fact tables. This ensures consistency when comparing data across different parts of the business.