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Leading NoSQL models for handling Big Data: a brief review

Author

Listed:
  • Sugam Sharma
  • Ritu Shandilya
  • Srikanta Patnaik
  • Ashok Mahapatra

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.

Suggested Citation

  • Sugam Sharma & Ritu Shandilya & Srikanta Patnaik & Ashok Mahapatra, 2016. "Leading NoSQL models for handling Big Data: a brief review," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 22(1), pages 1-25.
    • Handle: RePEc:ids:ijbisy:v:22:y:2016:i:1:p:1-25
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    References listed on IDEAS

    as
    1. Ajantha Dahanayake & Bernhard Thalheim, 2013. "Continuous database engineering," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 13(2), pages 133-150.
    2. Maria Petrescu, 2012. "Cloud computing and business-to-business networks," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 10(1), pages 93-108.
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