One of the steps in data modeling is to map your logical data model to your physical data model. But what does that mean and how do you do it? In this article, we will explain the difference ...

If you are a database developer, you may often need to translate a logical data model into a physical model. A logical data model is a conceptual representation of the entities, attributes ...

The purpose of this article is to define the process for converting a logical data model to a physical data model, especially in a warehouse environment. Before discussing the specific methods for ...

I’ve alluded to this in previous articles, mentioning, for example, how implementing a fully normalized logical model in a physical database, and forcing application developers to code to the ...

The end goal of database design is to be able to transform a logical data model into an actual physical database. A logical data model is required before you can even begin to design a physical ...

but its scope goes far beyond the physical metadata needed to find and access diverse data sources. It must also carry the business meaning of the logical data model that enables users to relate to ...

Those three kinds of data-model instances are conceptual schema, logical schema, and physical schema. A conceptual data model or conceptual schema is a high-level description of information used ...

Abstract: Traditional relational database design uses conceptual, logical, and physical modeling based on Peter Chen's methods. UML (Unified Modeling Language), though being a set of software ...

Teradata Corp. has introduced the Utilities Logical Data Model (uLDM). As a utility's business needs evolve, the Teradata uLDM helps customer adapt their data warehouse physical model to ensure the ...

For example, a logical model might define what happens with a specific piece of data when specific events or circumstances occur. Physical data models refers to the actual implementation of a ...