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

Research and Application of Large Data Query Technology Based on NoSQL Database

Authors
Xiaoqin Yin, Qiqiang Luo
Corresponding Author
Xiaoqin Yin
Available Online April 2018.
DOI
10.2991/iwmecs-18.2018.44How to use a DOI?
Keywords
NoSQL; big data; query; RDBMS; panorama
Abstract

NoSQL database breaks the traditional relational model, stores data in a free way, provides a new access interface, and overcomes the shortcomings of traditional RDBMS. NoSQL database can be deployed on cheap hardware, supporting distributed storage, and transparently extending nodes. This paper analyzes the characteristics and applications of various types of NoSQL databases, and focuses on the application of the representative MongoDB in the large data query in the NoSQL database. The paper presents research and application of large data query technology based on NoSQL database.

Copyright
© 2018, 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 2018 3rd International Workshop on Materials Engineering and Computer Sciences (IWMECS 2018)
Series
Advances in Computer Science Research
Publication Date
April 2018
ISBN
978-94-6252-491-0
ISSN
2352-538X
DOI
10.2991/iwmecs-18.2018.44How to use a DOI?
Copyright
© 2018, 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  - Xiaoqin Yin
AU  - Qiqiang Luo
PY  - 2018/04
DA  - 2018/04
TI  - Research and Application of Large Data Query Technology Based on NoSQL Database
BT  - Proceedings of the 2018 3rd International Workshop on Materials Engineering and Computer Sciences (IWMECS 2018)
PB  - Atlantis Press
SP  - 202
EP  - 207
SN  - 2352-538X
UR  - https://doi.org/10.2991/iwmecs-18.2018.44
DO  - 10.2991/iwmecs-18.2018.44
ID  - Yin2018/04
ER  -