A data modeler is a person who works with data to transform it into something that can be understood and used by a company. This person may collect data from various sources, analyze it, and organize it so that it can be read and interpreted easily. Graphs, charts, keys, and computer programs specifically designed to work with data are some of the tools used by a data modeler. A modeler may also be involved in the development of computer programs that deal with a company’s data. A data modeler’s job is similar to that of a data architect, and the two terms are sometimes used interchangeably.
One of the most important jobs of a data modeler is to figure out what kind of data a company might require. Before the data is collected, these professionals use conceptual data models to determine what type of data will be needed and how to best organize it. Once a company has decided what kind of data it requires, the data modeler must figure out how to collect it.
When a data modeler is given data to work with, the modeling job can entail a variety of tasks. To accommodate, analyze, or process the data, the modeler may need to create computer programs. It may also be necessary for the modeler to figure out how to integrate various types of data from various sources, either with or without the use of computer programs.
Data modelers organize data into databases or visual systems in addition to writing computer programs. Even if they only exist electronically, these creations are referred to as physical data models because they are made with real data. Tables, charts, graphs, and indices may be used to organize data, which can be accessed via tags or keys. The data is usually organized in such a way that other employees in the company can easily access and interpret it.
The data modeler can also set up systems to automatically enter new data into the organized database or to add data to an existing system quickly and easily. One of the modeler’s main responsibilities is to streamline the process of gathering, organizing, and accessing data so that a company can run more efficiently. These experts may devise data-handling strategies as well as the software required to sort through it.