Which model reflects a set of business rules?

The relational model is characterized by its approach to structuring data in a way that allows for the enforcement of business rules through the use of tables, relationships, and constraints. In this model, data is organized into relations or tables that can be modified with specific rules that define the relationships between them. This framework allows businesses to define rules such as data integrity constraints, referential integrity, and other operational rules that are crucial for maintaining the accuracy and reliability of the data.

In a relational database, you can enforce business rules at various levels including the creation of primary keys to ensure uniqueness, foreign keys to maintain referential integrity, and various constraints that ensure data adheres to specific formats or ranges. All of these elements work together to construct a model that reflects the rules and policies of the business, making it very effective for ensuring that the data management aligns with organizational strategies and requirements.

The other models serve different purposes. For example, the dimensional model is mainly utilized in data warehousing and analytics for providing a structure that allows for quick retrieval of data, the physical data model deals with the actual storage of data and the implementation specifics, and the logical data model focuses on the abstract structure of the data independent of its physical implementation.