Proceedings of the 2017 6th International Conference on Energy and Environmental Protection (ICEEP 2017)

Analysis and Establishment of Big data Model

Authors
Yachuan Yao, Qiang Han, Yongchun Liu
Corresponding Author
Yachuan Yao
Available Online June 2017.
DOI
10.2991/iceep-17.2017.154How to use a DOI?
Keywords
Big data, Unstructured data, Data model, Retrieval analysis, visualization
Abstract

Big data service is a new data resource model and a new service economy model, which encapsulate all kinds of big data operations, to provide consumers with services everywhere, standardization, on-demand retrieval, analysis and visualization service. An unstructured data model based on agent behavior is designed in this paper. It describes the process of retrieval, analysis and visualization services, and improve the accuracy and efficiency of the service retrieval service two measures to implement data service capacity optimization in the big data service application.

Copyright
© 2017, 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 2017 6th International Conference on Energy and Environmental Protection (ICEEP 2017)
Series
Advances in Engineering Research
Publication Date
June 2017
ISBN
10.2991/iceep-17.2017.154
ISSN
2352-5401
DOI
10.2991/iceep-17.2017.154How to use a DOI?
Copyright
© 2017, 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  - Yachuan Yao
AU  - Qiang Han
AU  - Yongchun Liu
PY  - 2017/06
DA  - 2017/06
TI  - Analysis and Establishment of Big data Model
BT  - Proceedings of the 2017 6th International Conference on Energy and Environmental Protection (ICEEP 2017)
PB  - Atlantis Press
SP  - 892
EP  - 898
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceep-17.2017.154
DO  - 10.2991/iceep-17.2017.154
ID  - Yao2017/06
ER  -