Learn how to create, validate, and maintain your logical data model from your conceptual data model using techniques such as entity-relationship modeling, data normalization, testing, and more.

Entity-relationship modeling (ER modeling) is a technique to represent the data structure and the logical connections between different data elements in a graphical form. An ER model consists of ...

One of the most important steps in desiging a database is establishing the data model. Part one of a two-part article describes how to create a logical model.

The logical data model contains more detail than the conceptual data model and includes all the entities, relationships, attributes and rules that apply to the data. This type of model is used to ...

Deliverable A. Basic Conceptual Data Modeling: In the basic conceptual data modeling task, I create an entity-relationship diagram using two entities: CLASSROOM and COURSE. Each entity has its ...

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 ...

Abstract Entity relationship diagram (ERD) is one of the most widely used technique for data modeling. An ERD developed during the conceptual data modeling phase of the database development process is ...

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 ...

Abstract: Although dubbed schema less, NoSQL databases, especially the document-oriented ones, can still make use of effective data modeling techniques in order to provide high-performance databases.