Proceedings of the 8th International Conference on Management and Computer Science (ICMCS 2018)

Application of MongoDB Technology in NoSQL Database in Video Intelligent Big Data Analysis

Authors
Qing Tan
Corresponding Author
Qing Tan
Available Online October 2018.
DOI
10.2991/icmcs-18.2018.20How to use a DOI?
Keywords
MongoDB; NoSQL; Big Data; File Storage; Video
Abstract

MongoDB is a database based on distributed file storage, which lies between relational database and non-relational database. Mongodb is a very excellent database for document storage. It mainly solves the problem of storage and access efficiency of massive data. The mongoDB technology in NoSQL database in video intelligent big data analysis is flexible. Implementation of computing, storage resources cloud deployment, equipment ad hoc network, self-management, business never interrupted, flexible expansion on demand. Support distributed search engine, through distributed database MongoDB, support massive data storage and analysis.

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/).

Download article (PDF)

Volume Title
Proceedings of the 8th International Conference on Management and Computer Science (ICMCS 2018)
Series
Advances in Computer Science Research
Publication Date
October 2018
ISBN
10.2991/icmcs-18.2018.20
ISSN
2352-538X
DOI
10.2991/icmcs-18.2018.20How 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  - Qing Tan
PY  - 2018/10
DA  - 2018/10
TI  - Application of MongoDB Technology in NoSQL Database in Video Intelligent Big Data Analysis
BT  - Proceedings of the 8th International Conference on Management and Computer Science (ICMCS 2018)
PB  - Atlantis Press
SP  - 104
EP  - 108
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmcs-18.2018.20
DO  - 10.2991/icmcs-18.2018.20
ID  - Tan2018/10
ER  -