Datenflussmodell

A Datenflussmodell, or data flow model, is a graphical representation of the flow of data through a system. It illustrates how data is processed, stored, and moved from its origin to its destination. These models are commonly used in system analysis and design to understand and document the behavior of a system. The fundamental components of a Datenflussmodell include processes, data stores, external entities, and data flows.

Processes represent activities or functions that transform data. They receive data as input, perform some operation, and produce data as output. Data stores are places where data is held for later use, such as databases or files. External entities are sources or destinations of data that are outside the system being modeled. Data flows represent the movement of data between these components, indicating the direction and type of data being transferred.

The primary purpose of a Datenflussmodell is to visualize and communicate how data is managed within a system. It helps in identifying data sources and sinks, understanding data transformations, and pinpointing potential bottlenecks or inefficiencies. By breaking down a complex system into simpler, interconnected components, Datenflussmodelle facilitate clearer communication among stakeholders, including developers, analysts, and business users. They are a valuable tool for requirements gathering, system design, and documentation.