Analysis of the Big Data based on MapReduce
Authors
Zi-de Tian
Corresponding Author
Zi-de Tian
Available Online April 2015.
- DOI
- 10.2991/amcce-15.2015.41How to use a DOI?
- Keywords
- Big Data; MapReduce;SQL server
- Abstract
Big Data are becoming a popular technology focus both in science and in industry and motivate technology shift to data centric architecture and operational models. Big Data is bringing a positive change in the decision making process of various business organizations.In this paper, MapReduce big data analysis methods, and with SQL server performance comparison, the experimental results show that, compared to SQL server, MapReduce method loads a small time, as the data set increases, the performance MapReduce approach is better. So MapReduce method has better scalability and speedup for large data processing applications.
- 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/).
Cite this article
TY - CONF AU - Zi-de Tian PY - 2015/04 DA - 2015/04 TI - Analysis of the Big Data based on MapReduce BT - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering PB - Atlantis Press SP - 226 EP - 230 SN - 1951-6851 UR - https://doi.org/10.2991/amcce-15.2015.41 DO - 10.2991/amcce-15.2015.41 ID - Tian2015/04 ER -