Research On Constructing Method Of Data Integration Model For Group Enterprises

In current economic environment, the group enterprises has a pivotal role. Thegroup enterprises has features of complex organizational structure, multi-levelsubordinate branches, number of personnel and complex affiliation, business inmultiple industries, operating at a wide geographical distribution, variousmanagement models and need to collaborative working. The wealth of information ofgroup enterprises scattered in different subsidiaries, departments, staff,etc.,the sourceof information is complex,the amount of information is large, but the integration ofinformation is poor,all of these make a big challenge for enterprises to makeproduction management decisions.With the development of the concept and technology of cloud computing, theenterprise management applications transplant and deployment to the cloudcomputing environment, need the multi-data source and multi-data centercollaboractive work,need integrate existing multi-information systems’ heterogeneousand distributed database.We have proposed a “Based ontology heterogeneous data integration model incloud computing”.The model is based on the theory of ontology, in accordance withthe characteristics of the cloud computing environment to build, support dataintegration for all major database and cloud storage,meet the need of high concurrentaccess and efficient mass data storage, meet the demand of high scalability and highavailability,and also the consistency requirements of thd databse. Complete groupenterprises information technology applications in the cloud deployment andmigration, to promote the development and enhancement of enterprise information.The work and major contributions include the following:(1)Starting from the the theories and models of cloud computing and cloudstorage, for large-scale data-intensive applications, providing user-oriented andtransparent integration of heterogeneous data access interface service.(2) Hierarchical organization of the basic services required by heterogeneous dataintegration in the cloud computing environment, existing heterogeneous dataapplications to migration and integration of cloud computing environment to providea higher level of abstraction for the user, and seamless mapping of heterogeneous dataapplications to the cloud computing environment unified data services and behavior. (3) According to user needs, provide the data centralized and unified managementof the variety business,unified the heterogeneous data retrieval and porcessing,as wellas the need of heterogeneous data association and mapping by the businessapplications.(4) The proposed model can be achieved on the cloud computing environment ina variety of relational and non-relational heterogeneous data integration intelligent,and meet high concurrency, high-load, high-speed processing of massive datacomplex multi-table associated with the query request.Therefore,the group enterprises can obtain timely and accurate information,andcould do the pre-control and integrated management by data integration.Onlyachieving a high degree data integration,group enterprise could be truly effectivemonitoring of the various subsidiaries and individuals, to ensure timely and accuratebusiness execution, improve service quality and efficiency, and are conducive to theunified deployment of human resources, the enterprise data that generated by thegroup enterprises give full play to the business value.