A Verb Associating Two Nouns In A Business Rule Translates To A(N) Relationship In The Data Model

Data models provide the framework for understanding how information is stored and handled within a system. In order to properly design a data model, one must understand the basics of translating business rules into data model components. This article will cover the concept of translating a verb associating two nouns in a business rule into a relationship in the data model.

Business rules are statements of policy, and they provide guidance on how to handle certain types of data. For example, a business rule might say that “customers need to be over 18 to purchase certain products.” The two nouns in this business rule are “customers” and “products.” The verb associating the two nouns in this business rule is “to purchase.” The verb “to purchase” indicates that there is a relationship between the customers and the products; specifically, it suggests that customers can purchase products.

In the data model, the verb “to purchase” needs to be translated into a relationship between the two nouns, or entities. The relationship between the customers and the products is represented in the data model as a link between the two entities. The link is referred to as a relationship. Specifically, the relationship between customers and products in this example would be classified as an “association” relationship.

In summary, a verb associating two nouns in a business rule is translated into a relationship in the data model. In this relationship, a link is created between two entities that represent the two nouns in the business rule. This link is referred to as a relationship, and it helps to indicate the relationship between the two entities.