图书馆对学生学业成效贡献的大数据分析平台构建

Construction of Big Data Analytics Platform in Library Contributing to Students' Academic Achievements

为探索学生对高校图书馆服务的利用与学生学业成效之间的关系,为高校图书馆价值主张和服务决策提供理论依据.通过对图书馆大数据分析存在问题和数据构成进行全面深入的分析,采用Hadoop分布式存储平台与Map Reduce计算框架搭建统一的图书馆大数据分析平台,并提出一种图书馆大数据预处理的方案.最后给出了一种图书馆服务与学生学业成效主题分析模型的构建思路,为下一步更深入的研究提供理论基础和技术保障.

The main purpose of constructing big data analytics platform of library contributing to students＇ academic achievements is to explore the relationship between college students using library services and the students＇ academic achievements. The platform sets up a theoretical stage on which decision making for library services can be evaluated. Through using big data analytics and building a unified big data analytics platform based on Hadoop distributed computing storage platform and Map Reduce framework, a big data system is proposed in this paper.