Data Modeling

Why is data modeling generally so important? Although one of the most time and labor intensive steps, a professional database should not be addressed without a model, just as a house should not be constructed without a blueprint.

In the course of data modeling, database schemas are designed according to the respective requirements. Basically, a data model is a conceptual diagram of data structures that are required for the database. The data structures include the data objects, the links between the objects and the rules that control the workflow of the data objects. The point of building a model therefore, is to define what data is required and how they should be organized - less about what function the data must perform.

At the Bergx2 GmbH, we do designs of databases with the following five steps:

  • Planning and analysis
  • Conceptual design
  • Logical design
  • Physical design
  • Implementation


To achieve an effective result, we put particular stress on designing the database model as simple as possible so that the required data structure is clearly communicated to the user. At the same time it has to be represented accurately enough so that ultimately a physical structure can be implemented.