Research Of Key Technologies Of Data Warehouse And Its Application In The Price Monitoring Platform

With the development of the global economic and the acceleration of the informational industrial, not only the increasing information about political, economic, military, environment, and people's livelihood needs people to deal with, but also it can help people make decision through the effective management. Data warehouse developed subsequently. The existing data warehouse modeling method often need to pre-process data with the changing of the business. It always produce a lot of data redundancy during these pre-processes. There are also none guarantee of the consistency and accuracy of the data sources.Because of the shortcomings of the data warehouse modeling method, two key technologies-data model design and data storage technologies of the data warehouse will be studied of in depth. According to the needs of the price monitoring platform for the necessities of life (referred to as price monitoring platform), it will be introduced indicator system to the platform to construct a flexible data model; and it will put forward a working library and archive libraries combined storage strategy. On this basis, this paper will design and implement a platform for monitoring the prices of daily necessities.This paper presents the storage strategy is effective in reducing the storage space and saving a lot of data retrieval time. The platform is achieved be very suited to deal with the data which has a lot of sources and its structure is, it has shown good robustness and real-time data processing in the practical application, it also proves that the data model and the storage strategy which presented in this paper effectiveness.The next step of the research work will focus mainly on designing the fuzzy data model, as well as fuzzy-dimensional model, predictive models, and fuzzy-dimensional storage of queries.