Learn the differences and uses of conceptual, logical, and physical data models for database development, and the benefits and tools of data modeling. Skip to main content LinkedIn Articles ...

Modeling Business Processes has become a challenging issue of todays' Knowledge Management. As such it is a core activity of Knowledge Engineering. There are two principal approaches to modeling such ...

identifiers, along with what in UML should not be used in a data model. And, since the whole point of preparing a data model (regardless of notation) is to present it to management for validation, ...

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 ...

The data modeling tools include: ‘Table Designer,’ ‘Database Diagrams’ and ‘Data Flow Diagram.’ Users can also create flowcharts, UML diagrams, ERD diagrams, mind maps and process ...

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 ...

Logical data models detail how entities in the conceptual model map to tables, fields, indexes and relationships within a relational database. For example, a relational table may represent an ...

For example, a logical model might define what happens with a specific piece of data when ... data modeling tools deliver the diagrams and schemas for tying things together in the most seamless ...

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 ...