Research on the Mass structured Data Storage and Sorting Algorithm and Methodology for SQL Database under the Big Data Environment

DOI

10.2991/iemb-15.2015.35How to use a DOI?

Keywords

SQL Database; Big Data Environment; Data Storage and Sorting; Mass Structure.

Abstract

In this paper, we research on the research on the mass structured data storage and sorting algorithm and methodology for SQL database under the big data environment. With the data storage market development and centering on the server, the data will store model to data-centric data storage model. Storage is considered from the start, just keep a series of data, for the management system and storage device rarely consider the intrinsic value of the stored data. The prosperity of the Internet has changed the world data storage, and with the emergence of many new applications. Theoretically, the proposed algorithm has the ability of dealing with massive data and numerically, the algorithm could enhance the processing accuracy and speed which will be meaningful.

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)

TY  - CONF
AU  - Wang Rong
AU  - Wu Chunhui
AU  - Dai Wenhua
PY  - 2015/09
DA  - 2015/09
TI  - Research on the Mass structured Data Storage and Sorting Algorithm and Methodology for SQL Database under the Big Data Environment
BT  - Proceedings of the 2015 Conference on Informatization in Education, Management and Business
PB  - Atlantis Press
SP  - 176
EP  - 180
SN  - 2352-5398
UR  - https://doi.org/10.2991/iemb-15.2015.35
DO  - 10.2991/iemb-15.2015.35
ID  - Rong2015/09
ER  -