Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)

Research of Structured Data Query in the Equipment Support Management System Based on Cloud Platform

Authors
Dong Li, Xinyi Xu, Huqiang Wang
Corresponding Author
Dong Li
Available Online December 2016.
DOI
https://doi.org/10.2991/iceeecs-16.2016.160How to use a DOI?
Keywords
Structured Data, Hadoop, Cloud Platform, Sqoop, Hive
Abstract

Aiming at deficiencies of current Equipment Support Management System on massive data query and analysis, this article proposed and realized a method of Structured Data Query used by the Cloud Platform based on Hadoop, after analyzing the data source. In the article, we used the tool of Sqoop to import data from a relational database into HDFS, and then use Hive to analyze the data. Finally, the experiment proved that the method makes up the shortage of the data query in the environment of single computer, and has high practical value.

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/).

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Volume Title
Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
Series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-265-7
ISSN
2352-538X
DOI
https://doi.org/10.2991/iceeecs-16.2016.160How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Dong Li
AU  - Xinyi Xu
AU  - Huqiang Wang
PY  - 2016/12
DA  - 2016/12
TI  - Research of Structured Data Query in the Equipment Support Management System Based on Cloud Platform
BT  - Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
PB  - Atlantis Press
SP  - 818
EP  - 822
SN  - 2352-538X
UR  - https://doi.org/10.2991/iceeecs-16.2016.160
DO  - https://doi.org/10.2991/iceeecs-16.2016.160
ID  - Li2016/12
ER  -