A logical data model is required before you can even begin to design a physical database. Assuming that the logical data model is complete, though, what must be done to implement a physical database?

A logical data model is useful for validating and refining your data design, as well as for mapping it to a physical data model. You can also use an ERD to create a logical data model, but with ...

The requirements for a logical and physical database vary by size and design parameters. A logical database must be able to access and identify all files within the storage system to operate ...

After all previous information has been gathered and entered into the physical design tool, a physical database definition (DDL for DB2, schema for Sybase or Oracle) can be generated. This must be ...

Physical data modeling is the process of translating your logical data model into a specific database schema, taking into account the technical aspects of how your data will be stored and accessed.

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 ...

About the Author. Dr. Barry Devlin is among the foremost authorities on business insight and one of the founders of data warehousing in 1988. With over 40 years of IT experience, including 20 years ...

About. Create the logical and physical design for a database and do basic database operations using a python program. Resources ...

This project focuses on the conceptual, logical, and physical database design for a university library management system. The goal is to create a robust and efficient database structure that supports ...

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.