Main content: 1. Requirements analysis; 2. Conceptual structure design; 3. Logical structure design; 4. Physical structure design; 5. Data requirements analysis; 6. Entity-relationship model design; 7. Paradigm design ; 8. Database security design; 9. Database operation and maintenance design; 10. Database document and metadata design.
Database conceptual design is an important part of database design, which mainly includes the following aspects:
Requirements analysis: Through user surveys, users’ needs for the system are gradually clarified, including data needs, business processing needs around these data, security and integrity requirements, etc.
Conceptual structure design: Through data abstraction, the real world is synthesized, summarized and abstracted, and an abstract conceptual data model is established, usually an E-R model. This conceptual model should reflect the information structure of various departments in the real world, the flow of information, the mutual constraints between information, and the requirements of each department for information storage, query and processing.
Logical structure design: Convert the conceptual structure into a data model supported by a certain DBMS (such as a relational model), and optimize it.
Physical structure design: Design the storage structure and access methods of data, such as index design; convert the conceptual structure into a data model supported by a certain DBMS (such as a relational model), and optimize it.
Data requirements analysis: Determine the data that needs to be stored in the database and its characteristics, understand user needs and usage of data, clarify the source and destination of data, and the life cycle of data, etc.
Entity-relationship model design: Use the entity-relationship (ER) modeling tool to combine the entities (Entities) and their relationships (Relationships) based on the results of data requirements analysis. Carry out modeling, determine the constraints between attributes and relationships of entities, and form an entity-relationship diagram.
Paradigm design: By analyzing the entity-relationship diagram, normalize the relationship pattern to an appropriate paradigm to reduce data redundancy and improve data consistency and flexibility. Commonly used paradigms include first normal form (1NF), second normal form (2NF) and third normal form (3NF).
Database security design: Design database access control strategies, including user rights management, role rights management, data encryption, etc., to ensure the security and confidentiality of the database.
Database operation and maintenance design: Design appropriate database operation and maintenance processes, including data import and export, backup and recovery, performance monitoring and tuning, data migration, etc., to ensure the reliability of the database performance and maintainability.
Database documentation and metadata design: Write database user manuals and technical documents, record the database structure, data dictionary, metadata, etc. to facilitate users and developers to understand and use the database.
These are the main contents of database conceptual design, which help to establish a database system with good structure, excellent performance, safety and reliability. For more information, it is recommended to consult database-related books or consult professionals.
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