Data warehouse design kimball vs inmon

  • Which is a methodology for developing data warehousing and was developed by Ralph Kimball?

    The Kimball lifecycle is a methodology for developing data warehouses, and has been developed by Ralph Kimball and a variety of colleagues.
    The methodology "covers a sequence of high level tasks for the effective design, development and deployment" of a data warehouse or business intelligence system..

Sep 27, 2023In the hybrid data model, the Inmon method creates a dimensional data warehouse model of a data warehouse. In contrast, the Kimball method is  Characteristics of a Data Data Warehouse vs. Database
The Kimball approach utilizes dimensional models such as star and snowflake schema to organize the data into various business classified data to enable business processes quickly. Inmon, on the other hand, considers the overall corporate data requirement, and as such, it utilizes the ER modelling technique.

Is Kimball a 360 view of enterprise data?

Kimball's approach starts (and ends) at critical business processes

Therefore it does not offer a complete 360 view of enterprise data

Rather, it is useful for business reporting of specific subject areas

Bill Inmon, the father of the data warehouse, proposed a different, top-down approach to architecting data warehouses:

Why is Inmon a good data warehouse architecture?

Because of the ETL process design that leads to normalized data, Inmon’s architecture is more adaptable

The architects change just a couple of normalized tables, and the change is propagated downstream

Single source of truth

Because of the normalized data model, the data warehouse acts as a single source of truth throughout the enterprise


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