reviewMay 1, 2013Closed access
Big data: A review
Indexed incrossref
Abstract
Big data is a term for massive data sets having large, more varied and complex structure with the difficulties of storing, analyzing and visualizing for further processes or results. The process of research into massive amounts of data to reveal hidden patterns and secret correlations named as big data analytics. These useful informations for companies or organizations with the help of gaining richer and deeper insights and getting an advantage over the competition. For this reason, big data implementations need to be analyzed and executed as accurately as possible. This paper presents an overview of big data's content, scope, samples, methods, advantages and challenges and discusses privacy concern on it.
Citation impact
1,269
total citations
- FWCI
- 110.55
- Percentile
- 100%
- References
- 13
Citations per year
Authors
2Topics & keywords
Topics
Keywords
- Big data
- Computer science
- Data science
- Scope (computer science)
- Implementation
- Process (computing)
- Competition (biology)
- Analytics
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