Data modeling is a technique used in the field of information technology that aims to represent in a structured way the information that will be stored in a system. This technique allows data to be organized in a logical way, facilitating access and manipulation of information.
To perform data modeling, it is necessary to follow a series of steps. The first is the identification of the data that will be stored in the system. This step is important so that you can define what information is relevant and how it will be organized.
After identifying the data, it is necessary to create a conceptual model. The conceptual model is a graphical representation of the data, which shows how they are related to each other. This representation is done through diagrams, which can be made using specific tools.
Based on the conceptual model, you can create the logical model. The logical model is a more detailed representation of the data, which shows how it will be stored in the system. In this step, it is necessary to define the tables, fields and relationships between the data.
Finally, you need to create the physical model. The physical model is the representation of the data in the storage system, that is, how they will be stored in the database. In this step, you need to define data types, primary and foreign keys, constraints, and other technical details.
Data modeling is a fundamental technique for the development of information systems. It allows data to be organized in a logical and structured way, facilitating access and manipulation of information. Additionally, data modeling helps ensure data integrity by preventing errors and inconsistencies.
