Research Of Discrete Data Integration Technology Based On Service-Oriented Architecture

Along with the development of social informatization, the information shows a trend of explosive growth. As a key element of information, enterprise business data also has emerged more complex phenomenas such as enterprise internal data redundancy and hard data sharing in different business departments. The appearance of heterogeneous discrete data integration technology is primarily to resolve the problems of mutual visitation and unified management in different information systems. In the process of researching data integration technology, the research not only refers to the design patterns of traditional data integration systems but also analyzes the advantages and weaknesses of the existing technologies. According to the technology developing trend and the new demands on data integration system, this thesis focuses on the service-oriented architecture technology (SOA).By analyzing the different realization technologies of service-oriented architecture, the research selects web service as the main measure for achieving the data integration system, because web service has good interoperability, encapsulation, coupling and industry specification standard. The data integration system exchange messages based on enterprise service bus. All of the functional components of data integration, such as intelligent message routing module, semantic conflict resolution module, query processing module are integrated in the system as components. These components of the system have ability to load and take effect in time.In fact, different data service providers may provide different service modules for the same function. Service requestors may have different needs for themselves during the data service request. Therefore, In order to solve the routing problem of message spread and expansion, an intelligent routing module based on service quality model is designed. In addition, the research mainly discusses the design principals and methods of the security module and semantic conflict resolution module of data integration system. Through a series of research and practical works, the thesis designs a data integration system with good safety performance, reliability and adaptability.