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Ubiquitous Communications and Network Computing. First International Conference, UBICNET 2017, Bangalore, India, August 3-5, 2017, Proceedings

Research Article

A Profound Inquiry of Diversified Application and Trends in Big Data Analytics

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  • @INPROCEEDINGS{10.1007/978-3-319-73423-1_10,
        author={Monica Velamuri and Anantha Narayanan and P. Sini Raj},
        title={A Profound Inquiry of Diversified Application and Trends in Big Data Analytics},
        proceedings={Ubiquitous Communications and Network Computing. First International Conference, UBICNET 2017, Bangalore, India, August 3-5, 2017, Proceedings},
        proceedings_a={UBICNET},
        year={2018},
        month={1},
        keywords={Big data analytics Application of big data analytics Comparison of big data and traditional data storage systems Hadoop Spark},
        doi={10.1007/978-3-319-73423-1_10}
    }
    
  • Monica Velamuri
    Anantha Narayanan
    P. Sini Raj
    Year: 2018
    A Profound Inquiry of Diversified Application and Trends in Big Data Analytics
    UBICNET
    Springer
    DOI: 10.1007/978-3-319-73423-1_10
Monica Velamuri1,*, Anantha Narayanan1,*, P. Sini Raj1,*
  • 1: Amrita Vishwa Vidyapeetham, Amrita University
*Contact email: cb.en.u4cse13369@cb.students.amrita.edu, cb.en.u4cse13310@cb.students.amrita.edu, p_siniraj@cb.amrita.edu

Abstract

Big Data plays a major role in every field in recent days. Analyzing, storing and visualizing the varied and complex data collected are important tasks for which Big Data tools are used. Big Data handles data in a more efficient manner. So, Big Data is preferably used in enterprises, organizations, companies, business etc. Henceforth, there are various fields such as healthcare/medical, business, sports, education, stock market, web and entertainment etc., which use big data tools. The motive of this paper is to give an insight into different types of analytics that are used in various fields and also to give a detailed study of various organizations and the extent they use the analytics in their respective fields.

Keywords
Big data analytics Application of big data analytics Comparison of big data and traditional data storage systems Hadoop Spark
Published
2018-01-19
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-319-73423-1_10
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