DocumentCode
2198380
Title
Big data and its applications: A review
Author
Rout, Trilochan ; Garanayak, Mamata ; Senapati, Manas Ranjan ; Kamilla, Sushanta Kumar
Author_Institution
NM Institute of Engineering & Technology, Department of CSE, Bhubaneswar, India
fYear
2015
fDate
24-25 Jan. 2015
Firstpage
1
Lastpage
5
Abstract
Big data is an overall compatible term for any collection of data sets too large and complex. It is difficult to process them using traditional data processing applications. Here the challenges include analyzing, capturing, searching, sharing, storage, transferring, visualization, and violations of privacy. The trend to larger data sets is due to the additional information derived from analysis of a single large set of data which are related with one another, as compared to separate smaller sets with the same amount of data totally which allows correlations to be found to trends in business applications, preventing diseases and reducing crime and so on. Big data is a term that describes any huge amount of structural, semi-structural and unstructured data that has the potential to be mined for information. Big data doesn´t refer to any specific quantity yet. The term is often used when speaking about petabytes and exabytes of data.
Keywords
Benchmark testing; Big data; Business; Computer architecture; Correlation; Databases; Software; CDR(call detail records); exabytes; petabytes;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical, Electronics, Signals, Communication and Optimization (EESCO), 2015 International Conference on
Conference_Location
Visakhapatnam, India
Print_ISBN
978-1-4799-7676-8
Type
conf
DOI
10.1109/EESCO.2015.7253972
Filename
7253972
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