Data Integration Patterns

The application landscapes of major companies have a complex structure each. Data has to be exchanged between or distributed to the various applications. In this paper different types of data integration are identified and categorized. Advantages and disadvantages as well as usage scenarios are discussed for each identified integration type. This paper tries to answer the question Where does redundancy make sense?, not How to avoid redundancy?.Keywords: data integration, data redundancy management, enterprise application integration, EAI