Data Modeling
The Kimball approach emphasizes organizing data into easily understandable structures called dimensions and measures. Dimensions represent the descriptive attributes of business entities, such as products, customers, and time, while measures represent the numeric data that users want to analyze, such as sales revenue or quantity sold.In the Kimball approach, data is typically modeled using a…
The Kimball approach emphasizes organizing data into easily understandable structures called dimensions and measures. Dimensions represent the descriptive attributes of business entities, such as products, customers, and time, while measures represent the numeric data that users want to analyze, such as sales revenue or quantity sold.
In the Kimball approach, data is typically modeled using a star schema, which consists of one or more fact tables surrounded by multiple dimension tables. The fact table contains the measures or metrics being analyzed, while the dimension tables contain the descriptive attributes associated with the measures. This star schema structure simplifies querying and analysis, providing a clear and intuitive model of the business data.