Data Modeling Explained
Data modeling is a computer science term that is used to describe the process of generating a data model. A data model will be generated by applying a special theory that is known as the data model theory. The data model theory will be used to create an entity that is known as a data model instance.
When you go through the process of data modeling, you are essentially organizing data, as well creating a structure for it. Once the data has been organized, it will be placed in a DBS, or database management system. When data is organized, the modeling process will generate limitations that is placed on the structure of the data. One of the primary functions of information systems is to manage large amounts of data that is structured, as well as unstructured.
Data models will typically deal with structured data that will be used within relational databases. Data models will rarely be used to deal with unstructured data, and an example of this type of data would be pictures, video, or documents that are created in word processing programs. When a software product is in the early stages of development, a great importance will be placed on the structure of a conceptual data model. It is possible to take this design architecture and transform it into a data model that is logical in nature. At the later stages of the software development process, this may be transformed into a data model that is physical. The data model will commonly be described in two ways, and this is physical or logical.
The physical picture of a data model deals with the implementation of a specific database, a database that will host the model. The logical picture of a database will deal with generic aspects of the model, and it will not be concerned with any specific implementation. The structure of the data also plays an important role in data modeling. The data model will be responsible for providing a description of the structure of the data. It will also deal with the primary structure of the domain. As you can seen, data models play an important role in the structures of both domains and data. A data model could also be described as an entity that will symbolize classes of various objects.
This will be closely related to information. It could be the information that a company stores, as well as the characteristics that are inherent in that information. The relationships of these characteristics will often be taken into consideration as well. How the data is presented in the computer system is largely irrelevant. The data model will place an emphasis on providing information about how the data is organized. While the objects that the data models represent may be tangible, the models that deal with concrete classes will often change over a certain period of time. If the data model is highly robust, it may be possible for it to find abstractions for these objects.
If a data model is conceptual, it can be used to showcase the semantics of various topics. It can be presented as a collection of assertions that are made about the function of the information, information that may be used by various companies or organizations. Many of these classes will be used with common words rather than the technical terms that are common in the data modeling field. This is important, because giving the proper names to relationships will allow strong assertions to be made about various areas.
Another concept that you will want to study is generic data modeling. Distinct modelers will produce numerous models for the same domain. This can make it hard to bring together models from distinct people or entities.
Despite this, it should be noted that the differences are related to the varying levels of abstraction that occur in the models. If an agreement can be made among the modelers for specific elements that are concreted, the differences between the entities can be less emphasized, and they can be rendered with a higher level of detail. Data models have played important roles in the functions of many database management systems, and they have become more important as we move further in the information age. Companies that understand how to properly use data models will greatly benefit. There are a large number of fields where data modeling technique are very useful.