摘要
探讨了基于Hadoop技术的高校教学数据存储系统设计。该系统以Hadoop分布式文件系统(HDFS)和MapReduce框架为基础,实现了教学数据的高效存储、管理和分析。构建了“数据交互层”“核心处理层”和“数据存储层”三层结构。教学资源网结构和数据库访问层支持多样化的数据类型和访问需求。同时,强调数据安全性与权限管理,以及实时处理与分析能力的重要性。通过这一设计,系统为高校提供了安全、高效、可靠的教学数据解决方案,支持教育的创新和发展。
This paper explores the design of a university teaching data storage system based on Hadoop technology.This system is built upon the foundation of Hadoop's distributed file system(HDFS)and the Map Reduce framework,achieving efficient storage,management,and analysis of educational data.The architecture encompasses three tiers:Data Interaction Layer,Core Processing Layer,and Data Storage Layer.The design supports diverse data types and access requirements through the educational resource network structure and the database access layer.Furthermore,the paper emphasizes the significance of data security and access control,as well as real-time processing and analytical capabilities.With this design,the system offers universities a secure,efficient,and reliable solution for handling teaching data,fostering innovation and development in education.
作者
李俊涛
LI Jun-tao(Party School of Qinghai Provincial Committee of CPC,Xining 810001,China)
出处
《广州城市职业学院学报》
2024年第1期86-90,共5页
Journal Of Guangzhou City Polytechnic
