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In this article, the editor gives you a detailed introduction of "what is the data exchange model". The content is detailed, the steps are clear, and the details are handled properly. I hope this article "what is the data exchange model" can help you solve your doubts. Let's follow the editor's ideas to learn new knowledge.

The data exchange model makes it possible to exchange data between different applications. Here is the most basic motivation: group pairs between different applications will result in n* (nMel 1) data interfaces.

For comparison, if you use an intermediate presentation layer, you will need only 2 interfaces. The data exchange model is this intermediate presentation layer.

The exchange model can be used as a specification for data transmission, or it can be used to define a schema for an exchange database. The source application must convert their data into this interchangeable format, and similarly, the target application must use the interchange format to populate their internal data structure. Therefore, the data exchange format acts as a link before the application and distinguishes them.

Data exchange formats are not used to build applications, and their patterns should not be complex and easy to parse. It does not need to emphasize data quality. The whole point of the data exchange format is to provide a way from the source to the destination.

Given the need for small-scale Schema and flexibility, a typical data exchange model usually contains metadata and data. How to define and understand this metadata and data is a bit nerve-racking.

Data exchange model versus application data model

There is a big difference between the data exchange model and the application data model. Exchangeable data is temporary, whereas application data is persistent, providing the "memory" of the application.

Moreover, the data exchange model is usually abstract and small. Their goal is to move data. Application data, on the other hand, aims to make business data operable and directly reflect business data. Application data models are usually large (there are usually hundreds or more tables) because they need to describe the data as accurately as possible to improve data quality.

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