Int. J. of Data Science   »   2015 Vol.1, No.2

 

 

Title: Big data and analytics: issues, challenges, and opportunities

 

Authors: Akshay Kumar; T.V. Vijay Kumar

 

Addresses:
School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi 110067, India
School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi 110067, India

 

Abstract: Big data refers to the large heterogeneous data, being generated at a brisk rate, which cannot be stored or analysed using conventional methods. Big data requires reliable, fast, and distributed storage and access of voluminous data for which several data storage and access mechanisms are evolving. The variety, or heterogeneity, of data requires developing models that allow for a meaningful integration of data existing in disparate data sources. The velocity or rapid rate with which Big data is generated requires real time storage and processing models. Further, veracity or trustworthiness of data poses a major challenge with regard to volume, variety and velocity. Big data analytics, which adds value to Big data, has opened many challenges that are data centric, architectural and analytics-related. This paper discusses the issues related to Big data and its analysis, its challenges and its opportunities.

 

Keywords: databases; big data analytics.

 

DOI: 10.1504/IJDS.2015.072412

 

Int. J. of Data Science, 2015 Vol.1, No.2, pp.118 - 138

 

Available online: 13 Oct 2015

 

 

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