What are the steps in data modeling process?

Data modeling process is an important step in developing any information system. It is a process of creating a model of data that represents real-world objects, events, and their relationships. The data modeling process consists of several steps. The first step is to identify the requirements of the system and define its scope. The second step is to create a conceptual data model that defines the main entities of the system and their relationships. The third step is to create a logical data model that defines the data structures of the system. The fourth step is to create a physical data model that defines the implementation of the system. Finally, the data model is validated and reviewed for accuracy and completeness. These steps help to ensure that the resulting system meets the needs of its users and is easily maintainable.

This mind map was published on 30 April 2023 and has been viewed 107 times.