Design And Development For Teacher File Management System Based On Big Data Architecture

Since 2009,a large number of big data-based management system services have emerged on the Internet,so the use of big data is a major trend in information management on the Internet.The cloud platform is a unified big data platform,and it is relatively outstanding in terms of high computing and storage capacity,especially in the high-concurrent access and quick query functions of the platform data.This means that the teacher file management system can be transformed into a cloud application based on the cloud computing big data platform.However,when designing a cloud computing platform,special consideration must be given to the intrinsic characteristics of the business application of the teacher file management system.This paper studies the traditional teacher file management system,analyzes the application of the traditional teacher file management system,and also considers the role of the cloud computing big data platform in the system.Based on the research content and technological innovation of transitional cloud applications,content and innovation can be divided into four aspects:Firstly,conduct research on the existing traditional teacher file management systems in schools across the country,and analyze the problems existing in the existing service platforms when carrying these services.Secondly,aiming at the existing problems in the existing service platform,a non-central topology structure is proposed.At the same time,an integrated software architecture based on RPC protocol is designed.The LVS DR cluster can separate proxy servers from Nginx Web static pages,Tomcat dynamic pages,efficient caches based on Memcached cluster,and Redis cluster queuing services.Thirdly,for the real-time analysis and timely query of the teacher file management system under the big data perspective,the cloud platform database is required to use HBase,and the data warehouse uses Hive.At the same time,the stability of the information maintained by the MySQL master-slave database cluster is also designed.Finally,in order to be able to achieve data query on heterogeneous architecture,you can establish a mapping table between HBase and Hive.You can use the HBase's rowkey to map a series of strings to build a relational table to implement query of data on a heterogeneous architecture.