For information technology applications such as data integration, process modeling is a method that has been tried and proved feasible. The problem of virtualization and standardization is also covered by modeling technologies for data integration application processes. First, let's look at the types of process modeling.
Data integration using Process modeling
Process modeling is a means of displaying system-related processes in some detail, using a chart of the specified type to present data flows through a series of processes. Process modeling techniques often graphically demonstrate specific processes to understand more clearly, communicate, and further refine the stakeholders in the design and development system processes.
Process modeling is not like data modeling, there are several different process model types, and it is related to different process interaction types. These different model types include process dependency graphs, structure hierarchy diagrams, and data flow diagrams. Data flow diagrams are the most widely known of these process model types and can be further refined into several different data stream types, such as background charts, 0-level, 1-level graphs and "leaf-level" graphs representing different levels and flow types.
By leveraging different levels of concepts and the type of process modeling, we have developed a process modeling approach to the data integration process, described below:
Data integration modeling is a process modeling technology, which focuses on transforming the process of engineering data integration into the General Data integration architecture.
Overview of Data Integration modeling
Data integration modeling is a technology that takes into account model types based on data integration architecture requirements types and model types based on system development Lifecycle (SDLC).
Modeling the Data Integration architecture
Process modeling types or data integration model types depend on the type of flow required in the Data Integration Reference Architecture. By using the Reference Architecture as a framework, we can create specific process model types for discrete data integration processes and landing areas, as shown in Figure 2.
Figure 2 is the schema design model.
In a word, these discrete data integration layers become the process model types, forming a complete data integration process. The goal is to develop a technology that can guide designers to model data integration processes based on a common set of process types.