Conceptual, Logical, and Physical Data Models Tutorial

Welcome to this tutorial on the Conceptual, Logical, and Physical Data Models in Database Management Systems (DBMS).

Introduction to Conceptual, Logical, and Physical Data Models

Data modeling is a critical step in database design, and it involves creating different levels of abstraction to represent the data. The three main levels are Conceptual, Logical, and Physical Data Models. Each level serves a distinct purpose in database development and management.

Conceptual Data Model

The conceptual data model provides a high-level view of the entire database, focusing on the entities (objects), attributes (properties), and relationships between entities. It abstracts the technical details and concentrates on the business requirements. For example:

Entity: Customer
Attributes: CustomerID, Name, Email
Relationship: Orders
        

Logical Data Model

The logical data model builds upon the conceptual model by adding more details and defining the structure of the data. It includes the tables, columns, keys, and constraints. Here's an example of a logical data model:

Table: Customers
Columns: CustomerID (Primary Key), Name, Email

Table: Orders
Columns: OrderID (Primary Key), CustomerID (Foreign Key), OrderDate
        

Physical Data Model

The physical data model is