DocumentCode :
699063
Title :
Technology and Trends to Handle Big Data: Survey
Author :
Sharma, Sunaina ; Mangat, Veenu
Author_Institution :
Dept. of Inf. Technol., Panjab Univ., Chandigarh, India
fYear :
2015
fDate :
21-22 Feb. 2015
Firstpage :
266
Lastpage :
271
Abstract :
"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.
Keywords :
Big Data; file organisation; big data; distributed file system; fault tolerance; Big data; Companies; Data visualization; Facebook; Media; Real-time systems; Big data; IT log analytics; fraud detection; social media analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computing & Communication Technologies (ACCT), 2015 Fifth International Conference on
Conference_Location :
Haryana
Print_ISBN :
978-1-4799-8487-9
Type :
conf
DOI :
10.1109/ACCT.2015.121
Filename :
7079091
Link To Document :
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