Proceedings of the 2016 International Conference on Automatic Control and Information Engineering

A Technique for Smooth Switching from Conventional Database to Big Data System

Authors
Zewu Peng, Jianwen Huang
Corresponding Author
Zewu Peng
Available Online October 2016.
DOI
10.2991/icacie-16.2016.34How to use a DOI?
Keywords
Conventional database, Big data system, Switch, Scheme
Abstract

In order to comprehensively analyze enterprise data using big data techniques, data need to be transformed from conventional database to unstructured database, where smooth switching of database has a great significance for enterprises. In this study, a technique for smooth switching from conventional database to big data system is proposed based on a practical case of conventional enterprise. We will also briefly introduce the process of database switching technique and describe solutions to the problems associated with traditional database switch techniques in detail. Finally, the proposed technique is verified using a practical case of enterprise application.

Copyright
© 2016, 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 2016 International Conference on Automatic Control and Information Engineering
Series
Advances in Engineering Research
Publication Date
October 2016
ISBN
978-94-6252-254-1
ISSN
2352-5401
DOI
10.2991/icacie-16.2016.34How to use a DOI?
Copyright
© 2016, 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  - Zewu Peng
AU  - Jianwen Huang
PY  - 2016/10
DA  - 2016/10
TI  - A Technique for Smooth Switching from Conventional Database to Big Data System
BT  - Proceedings of the 2016 International Conference on Automatic Control and Information Engineering
PB  - Atlantis Press
SP  - 151
EP  - 155
SN  - 2352-5401
UR  - https://doi.org/10.2991/icacie-16.2016.34
DO  - 10.2991/icacie-16.2016.34
ID  - Peng2016/10
ER  -