Big Data and Its Challenges

Authors

  • V. Maria Antoniate Martin  Research Scholar, Department of Computer Science, Research and Development Centre, Bharathiar University, Coimbatore, Tamil Nadu, India
  • Dr. K. David  Assistant Professor, Department of Computer Science, The Rajah’s College, Pudukkottai, Tamil Nadu, India
  • A.Vignesh  Student, Department of Information Technology, St. Joseph’s College, Trichy, Tamil Nadu, India

Keywords:

Big Data, Data Quality, Security

Abstract

Big Data is still a maturing and evolving discipline. Big data databases and files have scaled beyond the capacities and capabilities of commercial database management systems. Structured representations become a bottleneck to efficient data storage and retrieval. Gartner has noted four major challenges (the four Vs): increasing volume of data, increasing velocity (e.g., in/out and change of data), increasing variety of data types and structures, and increasing variability of data. A fifth V: value is suggested, which is the contribution big data has to decision making. Add to these the increasing number of disciplines and problem domains where big data is having an impact and one sees an increase in the number of challenges and opportunities for big data to have a major impact on business, science, and government.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-04-30

Issue

Volume 3, Issue 3, March-April-2018

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
V. Maria Antoniate Martin, Dr. K. David, A.Vignesh, " Big Data and Its Challenges, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.533-538, March-April-2018.