基于海量数据的学生行为分析平台设计与应用

Design and Application of Student Behavior Analysis Platform Based on Massive Data

学生行为数据能够全面、系统地反映大学生的行为规律和特征,对高校教育管理、学生自身发展具有重要的意义。面对海量的校园数据,如何从中有效挖掘有价值的信息已成为提升学生信息管理水平的重要内容。基于此,本文运用大数据处理和分析技术,针对高校当前海量数据进行采集、分析,并结合高校学生行为特征构建基于Hadoop的分布式计算平台。

Student behavior data can comprehensively and systematically reflect the behavior laws and characteristics of college students,which is of great significance to college education management and students’self-development.In the face of massive campus data,how to effectively mine valuable information has become an important content to improve students’information management level.Based on the characteristics of College Students’massive data collection and processing,this paper analyzes the current college students’massive data collection and processing platform based on this technology.