Analysis Of Mobile Communication Data Service Based On Greenplum

Recently, big data continuously attracts the attention o f people, it affects everything ineveryday life including the medication, transportation, communication and etc. Big data hasbecome a new economic element which is as real as gold and currency. The data has almostbecome the business itself for many enterprises. It means that the enterprises not only have alot of data, but also has to process and analyze the data professionally and to get valuableinformation. It helps the managers in these enterprises make strategic decision, and make thedata reflected the growth and development of enterprises.The era of big data has arrived; it brings both challenges and opportunities to Chinesemobile communications enterprises. With the rapid development of mobile Internet, thecommunication among people becomes more and more convenient, efficient, and diversified.The competitions among communication industries are becoming increasingly fierce,especially the popularization of some mobile applications such as WeChat. Nowadays, thetraditional way of communication has been challenged, and communication industry willprobably encounter a large revolution which is inevitable during the development of newtechnology. The traditional communication operators of China Mobile, China Unicom, ChinaTelecom and etc. who want to survive in this revolution must adjust their own strategyactively, innovating their technology and adapt to the trend of technological development.Then these communication operators adapt to this new trend and grow up.This paper provides an overview of the Greenplum, analyzes the unique advantages ofGreenplum after comparing it with other databases, and take several major advantages ofGreenplum as mobile communications operator data storage business and data warehouse，and recommend how to load data into Greenplum detailedly. Then, this paper discusses thedata mining technology and association rules including the basic concepts and classificationof data mining, the general process of data mining, analyze the mining algorithm especiallyApriori algorithm in depth, discuss the use of Apriori in this paper. Finally, as the traditionalmobile communication faces the tough challenge because of the fierce competition in the newcommunication means including broadband and wireless networks, Greenplum datawarehouse is proposed based on the use of mobile communication data, Apriori algorithm and association rule. By mining business data, this paper discovers valuable data association ruleshidden in the massive data and helps mobile operators launch personalized packages under thecondition of the existing network advantage. This paper takes the data during a period of timein Changchun Mobile as the studied object, gets the association rule from data mining andultimately develops personalized service products according to different requirements in themarket.