What type of schema utilizes one or more fact tables with dimensions in a Snowflake format?

A normalized model is designed to minimize redundancy and dependency by organizing data into multiple related tables. In the context of a snowflake schema, this involves using one or more fact tables that contain quantitative data, and dimension tables that are further normalized into multiple related tables.

The snowflake schema is characterized by having dimension tables that can be subdivided into additional tables, allowing for a more organized and efficient structure. This is beneficial for reducing data redundancy and maintaining integrity, which are key principles of normalization.

In contrast, a denormalized model would combine multiple dimension tables into a single table to improve query performance, often at the cost of data redundancy. A hybrid model may incorporate aspects of both, while a relational model is a broader term that encompasses various types of data organization, including both normalized and denormalized approaches, without specifically referring to the snowflake structure itself.