A Review on Big Data

Authors

  • A. A. Dande  Computer Science and Engineering, Anuradha Engineering College, Sant Gadgebaba Amravti, Chikhali, India
  • Shivaji. S. Kathale  Computer Science and Engineering, Anuradha Engineering College, Sant Gadgebaba Amravti, Chikhali, India
  • Rahul. R. Raimule  Computer Science and Engineering, Anuradha Engineering College, Sant Gadgebaba Amravti, Chikhali, India

Keywords:

Big Data, Hadoop, Architecture

Abstract

This research paper is based on Big data overview is pool of large and complex data sets so it becomes difficult to process data using database management tools. With the fast evolution of data, data storage and networking collection capacity, Big Data are rapidly growing in all science and engineering domains. The analysis of big data can be difficult as it often involves collection of mixed data based on different patterns or rules. The challenges include in big data are capture, storage, search, sharing, analysis, and visualization. The trend to larger data sets is because of the extra information drawn from analysis of a single large set of related data, compared to separate smaller sets with the same total amount of data. Big Data mining is the ability of extracting useful information from huge streams of data or datasets, that because of its velocity, variability and volume. Big Data processing model and also Big Data Mining.

References

  1. Russom, “ Big Data Analytics”, TDWI Research, 2011.
  2. Sawant, Application Nitin, Architecture." and Himanshu Big Shah. Data "Big Application Data Architecture Q & A. Apress, 2013. 9-28.
  3. BIG DATA: A Review Munesh Kataria1, Ms. Pooja Mittal2
  4. Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., Byers, A.H.: Big Data: The Next Frontier for Innovation, Competition, and Productivity. In: • McKinsey Global Institute Reports, pp. 1–156 (2011)

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Published

2020-02-17

Issue

Section

Research Articles

How to Cite

[1]
A. A. Dande, Shivaji. S. Kathale, Rahul. R. Raimule, " A Review on Big Data, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 5, Issue 6, pp.08-13, January-February-2020.