Proceedings of the 2014 International Conference on Computer Science and Electronic Technology

The Survey of Big Data

Authors
Qi Fu, Jun Tan, Yufang Xie
Corresponding Author
Qi Fu
Available Online January 2015.
DOI
https://doi.org/10.2991/iccset-14.2015.90How to use a DOI?
Keywords
big data; data processing technology; cloud computing
Abstract

In recent years, the era of researching and applying the big data has already arrived with the continuing increase of data size in Internet applications. The scale effect of big data has a great impact on the traditional technology of data processing. It reforms the existing management model and challenges the original method of data analysis. Therefore, the study of methods and technology on processing the big data is extremely important. Starting from the concept of the big data, this paper summarizes the general process for handing the big data. It mainly focuses on the compare and analysis of the current mainstream processing tools and some key technologies of handing the big data, and finally pointes out the problems and challenges for facing the era of big data.

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/).

Download article (PDF)

Volume Title
Proceedings of the 2014 International Conference on Computer Science and Electronic Technology
Series
Advances in Computer Science Research
Publication Date
January 2015
ISBN
978-94-62520-47-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/iccset-14.2015.90How 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  - Qi Fu
AU  - Jun Tan
AU  - Yufang Xie
PY  - 2015/01
DA  - 2015/01
TI  - The Survey of Big Data
BT  - Proceedings of the 2014 International Conference on Computer Science and Electronic Technology
PB  - Atlantis Press
SP  - 403
EP  - 407
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccset-14.2015.90
DO  - https://doi.org/10.2991/iccset-14.2015.90
ID  - Fu2015/01
ER  -