Proceedings of the 2018 3rd International Workshop on Materials Engineering and Computer Sciences (IWMECS 2018)

Technology and Application of Large Data Analysis Based on Cloud Computing

Authors
Zhongyan Liu, Lizhe Zhang
Corresponding Author
Zhongyan Liu
Available Online April 2018.
DOI
https://doi.org/10.2991/iwmecs-18.2018.32How to use a DOI?
Keywords
Cloud Computing, Large Data, Analytical Techniques, Applications
Abstract
With the rapid development of modern technology, massive data have been generated, such as micro-blog's message, video data, cell phone terminal, commodity label and so on, which generate a lot of data. Human beings enter the era of big data explosion, that is, the era of big data. The big data age is closely related to cloud computing, Internet of things, and the Internet. In the era of big data, how to complete massive data processing and analyze data in a short time, accurately grasp the potential needs of the target user group, analyze and predict it efficiently, so as to enhance the information technology level of the whole society is very necessary. Cloud computing is the most efficient method for data processing, processing data, improving processing efficiency, and sharing resources.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 3rd International Workshop on Materials Engineering and Computer Sciences (IWMECS 2018)
Part of series
Advances in Computer Science Research
Publication Date
April 2018
ISBN
978-94-6252-491-0
ISSN
2352-538X
DOI
https://doi.org/10.2991/iwmecs-18.2018.32How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zhongyan Liu
AU  - Lizhe Zhang
PY  - 2018/04
DA  - 2018/04
TI  - Technology and Application of Large Data Analysis Based on Cloud Computing
BT  - 2018 3rd International Workshop on Materials Engineering and Computer Sciences (IWMECS 2018)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/iwmecs-18.2018.32
DO  - https://doi.org/10.2991/iwmecs-18.2018.32
ID  - Liu2018/04
ER  -