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
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;
Conference_Titel :
Electrical, Electronics, Signals, Communication and Optimization (EESCO), 2015 International Conference on
Conference_Location :
Visakhapatnam, India
Print_ISBN :
978-1-4799-7676-8
DOI :
10.1109/EESCO.2015.7253972