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This article will explain in detail what data modeling refers to. The editor thinks it is very practical, so I share it for you as a reference. I hope you can get something after reading this article.

Data modeling refers to the abstract organization of all kinds of data in the real world, determining the scope of the database and the organizational form of the data until it is transformed into a real database; after transforming the conceptual model abstracted from system analysis into a physical model, the process of establishing database entities and the relationship between them in tools such as visio or erwin.

Data modeling refers to the abstract organization of all kinds of data in the real world, determining the scope of the database, the organizational form of the data, etc., until it is transformed into a real database. After transforming the conceptual model abstracted from system analysis into a physical model, the process of establishing database entities and the relationship between them in tools such as visio or erwin (entities are usually tables).

In software engineering, data modeling is the process of establishing the data model of information system by using formal data modeling technology.

Basic introduction

Data modeling is a process used to define and analyze the requirements of data and the corresponding supporting information systems it needs. Therefore, the professional data modeling work involved in the process of data modeling is closely related to the interests of enterprises and users' information systems.

There are three different types from the requirements to the actual database. The data model used in information systems, as a conceptual data model, is essentially a set of initial specification techniques for recording data requirements. The data is first used to discuss the initial requirements of the enterprise, and then it is transformed into a logical data model that can be implemented in the conceptual model of the data structure in the database. The implementation of a conceptual data model may require multiple logical data models. The final step in data modeling is to determine the specific requirements for data access performance and storage from the logical data model to the physical data model. Data modeling defines not only data elements, but also their structure and the relationship between them.

classification

1. Use computers to describe the behavior of a system. For example, spreadsheet programs can be used to process financial data, represent the company's behavior, develop business plans, and assess the possible impact of changes in the company's operations.

2. Use computer to describe the spatial relationship between objects and them mathematically. For example, computer-aided design (CAD) programs can generate objects on the screen, use equations to generate lines and shapes, and place them precisely according to their relationship to each other and to the two-dimensional or three-dimensional space in which they are located.

3. Application and data modeling is the process of determining, recording, and implementing data and process requirements for applications. This includes looking at existing data models and processes to determine whether they can be reused and creating new data models and processes to meet the unique requirements of the application.

This is the end of the article on "what does data modeling mean?". I hope the above content can be of some help to you, so that you can learn more knowledge. if you think the article is good, please share it for more people to see.

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