TECHNOLOGY AND TRENDS TO HANDLE BIG DATA: SURVEY

被引:21
作者
Sharma, Sunaina [1 ]
Mangat, Veenu [1 ]
机构
[1] Panjab Univ, UIET, Dept Informat Technol, Chandigarh, India
来源
2015 5TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING & COMMUNICATION TECHNOLOGIES ACCT 2015 | 2015年
关键词
Big data; IT log analytics; fraud detection; social media analysis;
D O I
10.1109/ACCT.2015.121
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
"Big Data" is a term that have jumped overnight from its roots. It can be described as an innovative technique and technology to save, distribute, manage, visualize and analyze larger-sized data with extreme velocity and methods to manage unstructured and structure incapable amount of data. Big data has high capacity to predict conclusion, with low cost consumption, increase efficiency and enhance decision-making in various fields like traffic control, weather prediction, disaster prevention, finance management, fraud control, improve business transaction, control on national security, education improvement, and health care. Analyzing Big Data is a challenging task as it involves large distributed file systems which should be fault tolerant, flexible and scalable. Various technologies can be used to handle the big data. These technologies handle massive amount of data in MB, PB, YB, ZB, KB, and TB.
引用
收藏
页码:266 / 271
页数:6
相关论文
共 10 条
  • [1] Demchenko Yuri, 2013, BIG DATA ARCHITECTUR
  • [2] Dobbins Chelsea, 2014 28 INT C ADV IN
  • [3] Einav Liran, 2013, DAT REV EC AN P IEEE
  • [4] Garlasu, 2013, P IEEE
  • [5] Kyuseok Shim, 2013, Databases in Networked Information Systems. 8th International Workshop, DNIS 2013. Proceedings, P44, DOI 10.1007/978-3-642-37134-9_3
  • [6] Pandey Shweta, 2014 4 INT C COMM SY
  • [7] Roger R, US 2013 IEEE INT C B
  • [8] Sagiroglu S, COLL TECHN SYST CTS
  • [9] The Emerging "Big Dimensionality"
    Zhai, Yiteng
    Ong, Yew-Soon
    Tsang, Ivor W.
    [J]. IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE, 2014, 9 (03) : 14 - 26
  • [10] Zhang Jinsong, 2013 10TH INTERNATIO