Proceedings of the 2015 International Conference on Industrial Technology and Management Science

Research on the Flows of Big Data Processing Technology

Authors
L.P. Zhu, B. Hu, J. Ding, A.H. Zhou
Corresponding Author
L.P. Zhu
Available Online November 2015.
DOI
10.2991/itms-15.2015.351How to use a DOI?
Keywords
Big data; data process; data extraction
Abstract

Comparing with the conventional data, big data has characteristics of Volume, Variety, Velocity and Value. The widespread use of big data poses a challenge to data processing, inducing more concerns and studies in big data processing technology. This paper researches on the basic flows of big data processing technology, which are divided into data acquisition, data extraction and integration, data analysis, data interpretation. At last, we conduct that combine traditional way of information organization with big data becomes a new research area.

Copyright
© 2015, 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 2015 International Conference on Industrial Technology and Management Science
Series
Advances in Computer Science Research
Publication Date
November 2015
ISBN
10.2991/itms-15.2015.351
ISSN
2352-538X
DOI
10.2991/itms-15.2015.351How to use a DOI?
Copyright
© 2015, 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  - L.P. Zhu
AU  - B. Hu
AU  - J. Ding
AU  - A.H. Zhou
PY  - 2015/11
DA  - 2015/11
TI  - Research on the Flows of Big Data Processing Technology
BT  - Proceedings of the 2015 International Conference on Industrial Technology and Management Science
PB  - Atlantis Press
SP  - 1438
EP  - 1440
SN  - 2352-538X
UR  - https://doi.org/10.2991/itms-15.2015.351
DO  - 10.2991/itms-15.2015.351
ID  - Zhu2015/11
ER  -