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This article mainly introduces the database data modeling is what it means, with a certain reference value, the need for friends can refer to the next. I hope you all have a lot to gain after reading this article. Let's take a look at it together.

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 build database systems, meets user requirements, and has high performance.

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

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

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

Why is database design important?

Database design is critical to high-performance database systems.

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

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 many phases in developing a database system.

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

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

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

demand analysis

Planning-This phase involves planning for the entire database development lifecycle, which considers the organization's information systems strategy.

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

database design

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

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

fulfil

Data conversion and loading-This phase involves importing and converting 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 the requirements specification.

Two Database Technologies

1. normalization

2. ER modeling

Thank you for reading this article carefully. I hope that Xiaobian will share what data modeling means in the database. It is helpful to everyone. At the same time, I hope that everyone will support you a lot. Pay attention to the industry information channel. When you encounter problems, find detailed solutions waiting for you to learn!

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