A Campus Big-Data Platform Architecture for Data Mining and Business Intelligence in Education Institutes

被引:0
|
作者
Zhang, Ningcheng [1 ]
机构
[1] Shanghai Jian Qiao Univ, Shanghai, Peoples R China
关键词
Campus Data; Business Intelligence; Big Data; Data Mining;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Although the commercial business area has witnessed successful applications of BI technologies, in the noncommercial education institute, BI is still in its early adoption phase, partly due to the budget constraint. In addition, the introduction of new Internet-of-Things technologies in campuses brings unprecedented rich data that reflect students' activities in their campus life. The big data provides valuable insight for further improvement of the campus management as well as strategic decision-making of the institutes. On the other hand, it also sets forward challenges on the traditional campus information system. In this paper, we present our big data platform architecture design for the BI application system on the basis of the successful project experience of the university. The architecture has the outstanding advantages in the cost, expandability and scalability. The realized BI analytical functions have played a significant role in the decision making in the university's strategic and routine management.
引用
收藏
页码:282 / 288
页数:7
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