The Research And Design Of Data Warehouse Based On Web Technology

With the development of data warehouse and web technology, research in it gets gradually extensive. The feasibility of the system's design becomes all the more essential for it to function properly. Based on the analysis of web technology and data warehouse system, XML& web mining technology is introduced into data warehouse, thus forming a distributional database system.Challenging and beneficial work, the establishment of the distributional data warehouse system based on web features friendly interface and convenience compared with the traditional database. It also draws the database resources from affiliated companies, customers into data warehouse, providing forceful strategies and greatly promoting the economic profits of enterprises.With the incorporation of data warehouse and web technology, the article emphasizes on the key issues in the design and development of data warehouse on web system from the angle of application. The formation of distributional data warehouse system on web elaborated in the article can dramatically reduce the flow of network in data transmission, rationally achieve the data transmission of isomers data source. The article aims to offer a few commonplace remarks on data development by way of introduction so that others may come up with valuable opinions. It analyzes the features of web data & XML, web mining technology in detail and applies mathematical approach in data mining thus structuring a model, improving an algorithm, and putting forward an integrated strategy. It also completes some of the algorithm.The article's structure is as follows: Part Two briefly introduces data warehouse technology. Part Three explains the structure of data warehouse system based on web system and discusses the characteristics and way of realizing. Part Four & Five centers on the design of data warehouse system and key technologies in the achievement of such a system, which is the important point of the article. The last part draws a conclusion and suggests further discussion on the data warehouse on web.