Proceedings of the 2018 International Conference on Education Reform and Management Science (ERMS 2018)

Construction and Experimental Application of Large Data Platform in Colleges

Authors
Hai-dong Lv, Shan-kun Wang, Yong-sheng Yao, Xiao-liang Zhang, Guang-chao Liu
Corresponding Author
Hai-dong Lv
Available Online April 2018.
DOI
10.2991/erms-18.2018.7How to use a DOI?
Keywords
Big data, Experimental teaching, Personnel training, Employment competitiveness
Abstract

This paper provides fully analysis to illustrate the potential and importance of big data technologies and its application, as well as the importance and necessity of building big data laboratory at colleges and universities. The paper also discusses the key aspects on building a big data technology laboratory with the open source big data framework and technologies, including Spark, Hadoop, Flink, Mesos, Kafka etc. The construction of platform infrastructure, lab team formation and development, students leaning and development bid data application in this platform also been discussed.

Copyright
© 2018, 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/).

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Volume Title
Proceedings of the 2018 International Conference on Education Reform and Management Science (ERMS 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
April 2018
ISBN
10.2991/erms-18.2018.7
ISSN
2352-5398
DOI
10.2991/erms-18.2018.7How to use a DOI?
Copyright
© 2018, 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/).

Cite this article

TY  - CONF
AU  - Hai-dong Lv
AU  - Shan-kun Wang
AU  - Yong-sheng Yao
AU  - Xiao-liang Zhang
AU  - Guang-chao Liu
PY  - 2018/04
DA  - 2018/04
TI  - Construction and Experimental Application of Large Data Platform in Colleges
BT  - Proceedings of the 2018 International Conference on Education Reform and Management Science (ERMS 2018)
PB  - Atlantis Press
SP  - 26
EP  - 30
SN  - 2352-5398
UR  - https://doi.org/10.2991/erms-18.2018.7
DO  - 10.2991/erms-18.2018.7
ID  - Lv2018/04
ER  -