Design And Implementation Of Intelligent Transportation APP System Based On Big Data

With the advent of the big data age of the Internet,the traditional traffic APP has been unable to meet the needs of users,mainly such as slow response speed,incorrect line of recommendation,unstable APP performance,complex upgrading and so on,which seriously affect the sense of users' use of traffic APP.This is also because of the rapid development of the society,resulting in rapid growth of mass data,traditional traffic APP because of the bottleneck in technology,most front-end APP clients still use traditional technology development,data processing still use traditional technology architecture,or relational data base(Oracle ? mysqlMysql)to store data.A large number of technology bottlenecks are encountered in the processing of massive data,which is also a hot topic in recent years for massive data processing.Therefore,this paper designs and develops a large data intelligent traffic APP system to make the APP system more efficiently applied to the traffic industry.In this study,the current mainstream large data technology,with high performance,high scalability,low cost hardware,mass data storage and processing capabilities,and so on.APP system supports multi source(DB/ file /log),heterogeneous(structured / semi-structured / unstructured),massive data extraction,conversion,and loading.In data storage,data storage is stored in the data format of NoSql database(HBASE)to support distributed file system(HDFS)and distributed data warehouse storage On the basis of the unified resource platform,the data is integrated with a variety of computing frameworks such as parallel computing,real-time computing and memory computing to meet the diversified analysis requirements of the data.It provides real time and effective support for the large data application business scene of APP business enterprise,and effectively improves the business enterprise of APP operation.Production efficiency and reduce the cost of business enterprises.In this paper,the large data platform and the APP client are studied in detail,and the large data platform mixed by open source components.After detailed coding and strict system testing,all the modules of the platform have been successfully implemented and put into use.The effect of the actual test proves that it has the characteristics of good reliability,high stability,good security,strong extensibility and high reusability,which lays a solid foundation for the construction of data assetsmanagement of APP business enterprises in the future.