A logical data model is more stable and less likely to change, while a physical data model is more dynamic and more likely to change. Add your perspective Help others by sharing more (125 ...

Mapping a logical data model to a physical data model involves translating abstract entities, attributes, and relationships into database-specific structures.

Analysis Phase – Develop a Logical Data Model. This step is obviously the crucial starting point. There is no substitute for business knowledge. Any team that does not know the business has no ...

For Deliverable D, I created a physical data model of your logical model using MySQL Workbench. This step involves using the software's forward modeling feature to translate your logical model into ...

Of all the issues surrounding the logical-physical divide, perhaps none is as critical (or as misunderstood) as the subject of normalization. I’ve alluded to this in previous articles, mentioning, for ...

Data virtualization tools certainly create and use it, 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 ...

Physical: Design a model for implementing the logical model that considers the RDBMS to be used. During this phase, you’ll describe tables, indexes, and so on.

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 ...

The first step in transforming a logical data model into a physical model is to perform a simple translation from logical terms to physical objects. Of course, this simple transformation will not ...