Design And Implementation Of Operational Data Storage System Of Telecom Industry

In recent years, the increasingly fierce competition in the telecom market, telecomcompanies such as Telecom, China Unicom, China Mobile, China Netcom, Railcom.The initial formation of a wide range of competitive situation within the variousbusiness areas, the same time, with China’s accession to the WTO, foreign telecomcompanies will enter the Chinese market, in this situation, China Telecom will be thecorrect and timely decision-making enterprise survival and development the mostimportant aspects, and to make the decision-making process, it is necessary to makebetter use of network technology, the use of data warehouse technology in recent years,developed this technology-based business intelligence, deep-level, multi-angle mining,analysis of the current production business and historical data, customer information,competitor information environment of a variety of data, found that its internal law, toobtain valuable information for decision support, in order to quickly and accuratelyanalyze business problems, and the company’s future production planning and long-termplanning to provide theoretical guidance. Only in this way, China Telecom to fiercecompetition, the vision never out of the game.The topics to China Telecom Operational Data Store(ODS), for example, moreeffective exploration of the the applications key issues of of telecommunications dataintegration of ODS, introduced the design and implementation process of the enterpriseODS and around large enterprises ODS design, focuseda large number of enterprises,redundant data storage, integration and processing, also describes a specific componentdesign, including data quality management processes, hardware and software platformsas well as application software. Among them, the main steps of the design of ODS intothe conceptual model, logical model and physical model design. Finally, detailedanalysis of the specific design for ODS to form the framework of the overall design,including functional analysis, technical support, data extraction, data concentration andquality management, hardware and software platforms and applications.