摘要
本文先对大数据做了简要介绍,进而分析了结合高校大数据结构的特点,进而以学生就业情况为例,分别作了高校数据采集、高校数据清理、高校数据存储及管理、高校大数据分析、高校数据可视化显化等环节的应用做了深入探讨,以便更好的为高校在教学任务、课件等教学信息、科学研究数据、师资信息、招生就业信息等方面借助大数据分析技术,分析学生在高校和社会活动中产生的大数据,形成数据库,进而为高校制定更好的教学内容和教学模式。
In this paper,the author first of Big data gives a brief introduction,and then analyzes thecombination of characteristic of big data structure in Colleges and universities,the employment situation of students as an example,are described in detail by five aspects of data acquisition,data cleaning,data storage and management,data analysis, data display and etc.,in order to better for the colleges and universities with big data analysis techniquesin the task of teaching,courseware,teaching in formation,teachinginformation,scientific research data, enrollment and employmentinformation and other aspects,Students analyze large data generated in universities and social activities, the formation of a database,and then develop better teaching content and teaching mode for college.
出处
《电子测试》
2014年第11X期43-44,52,共3页
Electronic Test
