Database Design Tutorial: Learn Data Modeling

What is database design?

Database design is a series of processes that contribute to the design, development, implementation and maintenance of enterprise data management systems. It helps to generate database systems that meet user requirements and have high performance.

The main goal of database design is to generate logical and physical design models of the proposed database system.

The logical model focuses on the data requirements and the data to be stored, regardless of physical considerations. It doesn't care how the data is stored or where it is physically stored.

The physical data design model involves translating the logical design of the database onto physical media using hardware resources and software systems such as a database management system (DBMS).

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Why is database design important?

Database design is critical to high-performance database systems.

In addition to improving performance, a well-designed database is easy to maintain, improves data consistency, and is cost-effective in terms of disk storage space.

Please note that the genius of the database is in its design. Data manipulation using SQL is relatively simple

Database Development Life Cycle

The database development life cycle follows a number of stages while developing a database system.

The steps in the development life cycle do not have to be followed religiously in a sequential manner.

On small database systems, the database system development life cycle is usually very simple and does not involve many steps.

To fully understand the above diagram, let’s look at the individual components listed in each step.

Requirements Analysis

Planning - This phase involves planning of the entire database development life cycle which takes into account the information systems strategy of the organization.

System Definition - This phase defines the scope and boundaries of the proposed database system.

Database Design

Logical Model - This phase involves developing the database model based on the requirements. The entire design is on paper without any physical implementation or specific DBMS considerations.

Physical Model - This stage implements the logical model of the database, taking into account both DBMS and physical implementation factors.

Performance

Data Transformation and Loading - This phase involves importing and transforming data from the old system to the new database.

Testing - This phase involves identifying errors in the newly implemented system. It checks the database against requirements specifications.

Two database technologies

1.Normalization

2.ER modeling

This article is about database design Tutorial introduction, I hope it will be helpful to friends who need it!

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