Design And Implementation Of Mobile Location Data Application System Based On Hadoop

With the rapid development of 4 g business operators,the smartphone has entered the universal phase,mobile business increasingly rich,anytime,anywhere access to the Internet,watching movies,playing games,shopping,and other business activities more and more popular,especially with the development of popularization,unlimited business daily business data is growing rapidly,storage and processing of telecom operators have brought serious challenges,in addition,how to dig the these vast amounts of data also brings new opportunities.On the one hand,on the face every day TB level of mobile business data processing analysis,using traditional IOE small machine(IBM,Oracle database,EMC storage)system could not do,as the Hadoop open source data processing analysis platform in Internet companies gradually mature,operators using Hadoop open source components to build mobile data application system will become an indispensable option.Hadoop is an open source distributed system framework developed by the Apache foundation and is currently the most popular big data technology.It started out primarily in large web sites like Yahoo!,Facebook,taobao,baidu,etc.As people pay more and more attention to the value of big data,Hadoop has been widely used in all walks of life,becoming the standard tool for the storage,analysis and mining of big data.The Hadoop application has formed a powerful ecosystem.Localization algorithm and realization in this paper,we study mobile phones,and through the analysis of mobile phone positioning data mining,for the user behavior and the social attribute of the tag(professional,interest preference analysis,users work,live and other properties)marking,as well as to the user’s activities trajectory analysis,path planning for government departments,traffic busy,tourism promotion,the public security traffic insight monitoring,traffic warning government departments to provide data to support decision-making reference.Processing and analysis are mainly carried out based on Hadoop big data processing platform,Hive is adopted as the data warehouse for offline analysis,and HBase database is used to realize the quick response of customer query.