Research On Key Technologies And Their Implementation Of Telecom Big Data Exploration Platform

For the telecom carrieroperator,the amount of data recorded daily is very huge.Marketing,finance,operation monitoring and so on are inseparable from the statistics of data.In the today of pursuiting of information fast and value,how to make the operators' internal departments,especially the market-oriented departments can timely and effective analyze the customer information changes and maximize the guidance of customers to the beneficial direction of enterprise transformation is a tireless effort to do.The traditional report platform is usually solidified to a certain category of the system through specific statistical needs analysis,development,testing and other processes.This method is long-term,inefficient,not timely,and takes at least one week,and the number of reports accumulated over time is very large,the demand is large and varied.The general provincial companies have no time to take account of the reporting requirements of the local market.The Data Exploration Platform(DAP)is the platform for improving the efficiency of querying,analyzing and extracting data and the value of digging data.In view of user data usage,data exploration platform focuses on the flexibility of large data analysis and user-oriented services.It is convenient to perform statistics analysis,data modeling,prediction and service.Specifically,data preprocessing,frontend interactive dynamic processing,data services are studied in this paper to meet the user's flexible analysis needs.The data exploration platform is designed in B/S mode,the operating system is Red Hat Linux 6.5,and the data is clustered in Oracle+Xcloud.After continuous development and testing,the system has friendly interface,strong practicability,gradually enriched functions and provides services to users at different levels.The data exploration platform described in this paper not only solves the need of operators for efficient statistical analysis of massive data,but also builds a data center platform with the potential value of constantly mining data,which improves the efficiency of operators' data analysis and users and has good social and economic value.