| In recent years, profit mode of domestic telecommunication companies have changed from relying only on voice services to the tread of emphasis on data services and value-added services as well as traditional voice services.Different from voice services, data services has many diverse categories and it is hard to divide, and the data sources are messed up.Due to lack of commonness, and some data services' short life cycles, present analyzing strategy is primarily based on single table, and targeted primarily on income and users. So how to manage and organize these fast exploding data to meet upper-layer application demand such as KPI, index uploading, reports and OLAP analysis and etc, how to meet the ever-changing market demand, and how to provide useful information to decision makers and analyzers so as to win out from the fierce competing market, is the aim of this article.The paper mainly contributes to the following aspects:(1) Through building the telecom operating analysis system, we analyzed characteristics of data services. Based on present condition of data organization, we provide the data service distribution engine as a solution to meet service development and user demand.(2) Design and implement data service distribution engine by dividing into three layers, combining relevant data warehouse and data mart knowledge.(3) Design and implement the data checking module to assure the efficiency and accuracy of data processing. Meanwhile we give the detailed implementation of the distribution engine, and evaluate on its practical usage in telecom projects. |
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