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MODULE 8LOGICAL DATABASE DESIGN Learning Units 8.1 Entity relationship(ER) modelling of data elements of an application. 8.2 Organization of data as relations 8.3 Normalization of relations 8.4 Creation

How to fill out logical database design

How to fill out logical database design?

1. Start by identifying the entities in your system: Begin by determining the different objects or entities that will be represented in your database. This could be customers, products, orders, etc.
2. Define the relationships between entities: Once you have identified the entities, you need to determine how they are related to each other. This can be achieved by understanding the business rules and requirements of your system. For example, a customer can place multiple orders, so there is a one-to-many relationship between the customer entity and the order entity.
3. Determine attributes for each entity: Next, you need to identify the specific characteristics or attributes that each entity possesses. These are the pieces of data that you need to store about each entity. For a customer, this could include their name, address, phone number, etc.
4. Normalize the entity-attribute relationships: Normalization is the process of organizing the attributes of an entity to minimize redundancy and improve efficiency. It involves breaking down complex entities into simpler, atomic entities while maintaining the relationships between them. This step is crucial for creating an efficient and scalable database design.
5. Determine primary and foreign keys: Each table in your database will have a primary key, which uniquely identifies each record, and foreign keys which establish relationships between tables. It is important to correctly define these keys to ensure data integrity and maintain referential integrity.
6. Design the tables and relationships: Using the information gathered above, start designing the physical tables and the relationships between them. This is where you determine which attributes go into which tables and how they are linked. Tools such as Entity-Relationship diagrams can be used to visualize the relationships.

Who needs logical database design?

1. Database Developers: Logical database design is essential for database developers who are responsible for creating and maintaining databases. It helps them in representing the real-world entities and their relationships accurately.
2. Business Analysts: Business analysts need logical database design to understand the data requirements and relationships within a system. It helps them in gathering and analyzing information to make informed business decisions.
3. System Architects: Logical database design is crucial for system architects who design the overall structure and functionality of a system. It aids in defining the data flow, relationships, and interactions between different components of the system.

In conclusion, logical database design is essential to organize data in a structured manner, establish relationships, and define the attributes of entities. It is needed by database developers, business analysts, and system architects to create efficient and well-designed databases that meet the requirements of the system or business.

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What is logical database design?

Logical database design involves creating a detailed data model of a database based on the requirements gathered during the analysis phase.

Who is required to file logical database design?

Database administrators, software developers, or data architects are typically responsible for creating and filing logical database designs.

How to fill out logical database design?

To fill out a logical database design, one must define the entity relationship model, attributes, data types, and constraints for each table in the database.

What is the purpose of logical database design?

The purpose of logical database design is to create a blueprint that describes the structure and organization of data within a database.

What information must be reported on logical database design?

Information such as entity relationships, attributes, data types, and constraints must be reported on a logical database design.

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