One of the most important steps in desiging a database is establishing the data model. Part one of a two-part article describes how to create a logical model.

The artistry in logical data models is to understand the business deeply enough to know when and where to apply abstraction, keeping objects within the used language and meanings of the organization.

Logical data model. The logical data model contains more detail than the conceptual data model and includes all the entities, relationships, attributes and rules that apply to the data.

In the simplest terms, a logical data model is a visual representation of the business rules and requirements covering the universe-of-discourse for a given solution or enterprise, along with some ...

Data modeling advantage: The vendor offers a robust modeling tool that delivers visualizations of physical, conceptual and logical data structures. The platform can generate SQL scripts, thus ...

Logical data model For example, a relational table may represent an entity such as a product order. The columns in the table correspond to various order properties, such as customer ID and total cost.

But if the logic and architecture of data systems do not align with the data’s inherent characteristics, it can result in problems such as model prediction errors, poor generalization ability ...

Logical data management solutions are very different from traditional extract, transform, and load (ETL) systems, which copy data from a source system and store it as a duplicate.