Study Of Data Warehousing Based On Web

With the constant promotion of the information-based process, the information system based on database technology has been already incorporating to each department of enterprises constantly. But traditional database technology regards database as the centre with single data resources, it is superior to transaction processing, and difficult to realize the data analysis, which is unable to meet diversified demands for data processing. The data warehouse makes the operating-type processing and the analytic-type processing separated, thus develops into a kind of new environment from the original data environment taking single database as the centre, i.e. the system environment taking data warehouse as the centre. The data warehouse can play a very important role in supporting decision of the data.Because of the swift and violent development of the network technology, Internet has not merely broken the traditional region difference, gathered the "ultra distance" of information of all parts of the world, made the earth become the real" global village ", and the business activity has brought the new development opportunity, such as e-commerce has already become an important channel of selling and customer service of enterprise's market gradually, and brought the enormous economic benefits to enterprise. Having produced a large number of data in these networks activity, has offered effective help for analyzing decision, for instance Web log file can support user's behavioral analysis,etc. effectively.The data warehouse based on Web technology has combined the strong point of two great hot technology in Web and data warehouse. The data come from the network, the data analysis and mining result is revealed and released on Web at the same time, so the information variety, distributing and stepping the platform of network is fully brought into play.This thesis makes a brief instruction to data warehousing and Web, has carried on further investigation on system structure of data warehouse and course of developing, then discusses data warehouse characteristic and advantage based on Web then propose...