What are the main stages of the database design process?

The database design process includes six main stages: requirements analysis, conceptual structure design, logical structure design, physical structure design, database implementation, and database operation and maintenance. Database design refers to constructing the optimal database model for a given application environment so that it can effectively store data and meet the application needs of various users.

The design content of database design includes: requirements analysis, conceptual structure design, logical structure design, physical structure design, database implementation and database operation and maintenance.

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Related introduction:

Database Design (Database Design) refers to the design of a given application environment, construct the optimal database model, establish the database and its application system, so that it can effectively store data and meet the application needs of various users (information requirements and processing requirements). In the field of databases, various systems that use databases are often collectively referred to as database application systems.

Database design principles:

1. One-to-one design principle

In the software development process, it is necessary to follow the one-to-one relationship design principle to carry out data maintenance work. Using this principle can minimize the occurrence of maintenance problems, ensure the smooth progress of data maintenance work, and reduce the difficulty of maintenance work. During this process, try to avoid large and complex data, otherwise it will not only affect the progress of software development, but also increase the difficulty of work and affect the quality of its products. Therefore, design staff must pay attention to this issue. At the same time, we fully understand the inevitable connections between entities to achieve the goal of information data dispersion. On this basis, we can improve the work efficiency of the overall staff and improve the reliability, scientificity, security and performance of software applications.

2. Unique Naming Principle

The application of unique naming principle is to reduce the phenomenon of repeated naming and standardized naming in the database design process. By applying this principle, data redundancy can be reduced, data consistency can be maintained, and there must be a certain corresponding relationship between keywords. The unique naming principle can train staff to be proficient in uppercase and lowercase letters, and is conducive to standardizing the development of back-end code work.

3. Two-way usage principle

The two-way usage principle includes: transaction usage principle and index function principle. First of all, the two-way usage principle is implemented based on the logical work unit model, which not only provides basic guarantee for non-transactional unit operations, but also ensures that it can update and obtain data resources in a timely manner. The effective application of the index function principle enables it to obtain more attribute column data information and flexibly sort it. Currently, common indexing modes in the software market include: clustered index for multi-row retrieval and non-clustered index for single-row retrieval.

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