There are three stages of data modeling, with each stage pertaining to its own type of data model – conceptual data models, logical data models and physical data models. Organizations that take a ...

In this article, we will explain the difference between two common types of data models: conceptual and logical. A conceptual data model is a high-level representation of the main data entities ...

Success in building a court automation system depends on first arriving at a high-quality logical data model. As in any software project, the data modeling phase is the one that most critically ...

Data modeling lives on after the database has ... The physical data model contains all the specifics about how the logical model will be implemented. This model format includes table names ...

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.

Data models define the logical structure of data, how they are connected and how the data are processed and stored in information systems. Data models provide the conceptual tools for describing ...

These models can be either conceptual, logical or physical. A good data model includes primary and foreign keys, which allow you to maintain referential integrity; this allows your database to ...

These top data modeling tools and applications enable users to build conceptual and logical data models that deliver significant competitive advantage. Written by eWEEK content and product ...

logical and physical data models for a number of use cases. You can visually design database structures, print data models to files, generate complex SQL/DDL, import models from Open Database ...