dataflödesmodell

A data flow model is a graphical representation of the flow of data through a system. It illustrates how data is processed, transformed, and moved between different components of a system. The primary purpose of a data flow model is to visualize and understand the dynamic aspects of a system, focusing on what happens to the data.

Data flow models are composed of several key elements. Processes represent activities that transform data. Data stores are places where data is held, such as databases or files. Data flows depict the movement of data between processes, data stores, and external entities. External entities represent sources or destinations of data outside the system being modeled.

These models are valuable for system analysis and design. They help identify potential bottlenecks, inefficiencies, and areas for improvement in data handling. By breaking down a complex system into smaller, manageable parts, data flow models facilitate communication among stakeholders, including developers, analysts, and end-users. They can be used to document existing systems or to design new ones, ensuring that data is managed effectively and efficiently. Different levels of detail can be represented, from high-level overviews to detailed descriptions of specific data transformations.