Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer

Power Big Data platform Based on Hadoop Technology

Authors
Jilin Chen, Nana Liu, Yong Chen, Weijiang Qiu
Corresponding Author
Jilin Chen
Available Online June 2016.
DOI
10.2991/mmebc-16.2016.123How to use a DOI?
Keywords
Power big data, Hadoop, distributed storage.
Abstract

The utility industry has entered into big data era as the construction and development of smart grid. It becomes more critical to store and process the big data efficiently, and to make effective utilization when the power big data are massive complicate. This paper analyses the status of power big data. Then, it introduces the main architecture of power big data platform based on Hadoop technology. Several key technologies are analyzed including data storing and processing. Finally, discusses the application of power big data platform based on Hadoop technology

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 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
Series
Advances in Engineering Research
Publication Date
June 2016
ISBN
978-94-6252-210-7
ISSN
2352-5401
DOI
10.2991/mmebc-16.2016.123How 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  - Jilin Chen
AU  - Nana Liu
AU  - Yong Chen
AU  - Weijiang Qiu
PY  - 2016/06
DA  - 2016/06
TI  - Power Big Data platform Based on Hadoop Technology
BT  - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
PB  - Atlantis Press
SP  - 571
EP  - 576
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmebc-16.2016.123
DO  - 10.2991/mmebc-16.2016.123
ID  - Chen2016/06
ER  -