Title: Leading NoSQL models for handling Big Data: a brief review

Authors: Sugam Sharma; Ritu Shandilya; Srikanta Patnaik; Ashok Mahapatra

Addresses: Center for Survey Statistics and Methodology, Iowa State University, Ames, Iowa, USA ' School of Computing and Engineering, University of Missouri, Kansas City, USA ' Department of Computer Science and Engineering, SOA University, India ' Faculty in Finance, Interscience Institute of Management and Technology, India

Abstract: Today, in data science, the large, complex, structured or unstructured, and heterogeneous data has gained significant attention. The data is being generated at a very rapid pace through various disparate potential resources and sensors, scientific instruments, and internet, especially the social media, are just to name a few. The considerable velocity of the volume expansion of the data possesses the serious challenges for the existing data processing systems. In this paper, we review some of the modern data models that claim to process the extremely large data such as Big Data (of petabyte size) in reliable and efficient way and are the leading contributors in NoSQL (largely being translated as 'not only SQL') era.

Keywords: not only SQL; NoSQL; big data; data models; data modelling.

DOI: 10.1504/IJBIS.2016.075714

International Journal of Business Information Systems, 2016 Vol.22 No.1, pp.1 - 25

Available online: 01 Apr 2016 *

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