一种海量教育用户行为数据分析软件的设计  

Design of a Massive Education User Behavior Data Analysis Software

作　　者：何雪锋[1] HE Xuefeng(Sichuan Vocational College of Information Technology,Guangyuan Sichuan 628017,China)

机构地区：[1]四川信息职业技术学院软件学院,四川广元628017

出　　处：《河北软件职业技术学院学报》2025年第1期19-23,共5页Journal of Hebei Software Institute

基　　金：四川移动应用开发协同创新中心项目“数据仓库的架构设计与数据分析研究”(2023KC03)。

摘　　要：在线教育行业的迅猛发展加剧了各大在线教育机构的竞争,尤其在打造个性化服务和预测市场趋势方面竞争更加激烈。为了提升在线教育机构的市场竞争力,基于分布式数据仓库Hive、后端开发框架SpringBoot和前端开发框架Vue等技术,提出了一套海量数据存储、分析和可视化解决方案。实践证明,该方案能够高效、多维度地实现海量数据的挖掘和展示,具有较强的可操作性和借鉴意义。The rapid development of the online education industry has led to the accumulation of massive user behavior data on major online education platforms,while competition between these platforms is constantly intensifying.To enhance the market competitiveness of the platform,a comprehensive solution for massive data storage,analysis,and visualization has been constructed based on technologies such as the distributed data warehouse Hive,the backend development framework SpringBoot,and the frontend development framework Vue.Practice has proven that this solution can efficiently and multidimensionally achieve the mining and display of massive data,and it has strong operability and reference significance.

关 键 词：教育数据 用户行为 数据仓库 Hive 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]