Data Warehouse Technology Research Campus Harbor

Although human being has accumulated large number of data quantity, people can't make decision according the "data sea". So the data warehouse technology appears to solve above-mentioned hard problem, and the data warehouse technology has become one of the focuses of database technology nowadays. Data warehouse technology can help user to process data, then to find its intrinsic rule. And help company leader to make enterprise decision and explore company's competitive superiority.As to CSU campus network, the information system of each department is isolated, so it is very difficult to support management or decision. In order to realize decision support function, we must integrate all department data. So we are about to adopt data warehouse technology to complete data integration task. We will construct a powerful data integration system with data warehouse, and realize all department data integration, connection and cooperation. So we can use it to support leaders' decision and management.In this thesis, fist, we study the basic conception and principle of data warehouse, and compare it with traditional database technology. So we draw a conclusion data warehouse can store data more efficiently and supply better support comparing traditional database. According to our campus data character, we adopts Muti-agent technology , realize different kinds of database integration; Starflake schema is used for describing multi-dimension data model, which make it convenient to access and analyze data. In the process of developing and researching this system, this paper has brought forward and carried out "software agent", which adapt to the common management information system. Because of their applicability , flexibility and replanting.