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

DOI

10.2991/mmebc-16.2016.59How to use a DOI?

Keywords

Campus Data, Business Intelligence, Big Data, Data Mining.

Abstract

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.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Ningcheng Zhang
PY  - 2016/06
DA  - 2016/06
TI  - A Campus Big-Data Platform Architecture for Data Mining and Business Intelligence in Education Institutes
BT  - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
PB  - Atlantis Press
SP  - 282
EP  - 288
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmebc-16.2016.59
DO  - 10.2991/mmebc-16.2016.59
ID  - Zhang2016/06
ER  -