Analysis of Big Data Challenges and Different Analytical Methods

Authors

  • Bhaskar Gurram SRM Institute of Science and Technology Chennai, India
  • Dinesh Motati SRM Institute of Science and Technology Chennai, India

DOI:

https://doi.org/10.31695/IJERAT.2021.3699

Keywords:

Big Data, Challenges in Big data, Analytical methods

Abstract

Big Data holds a great potential to gain the insights of various academics and practitioners to enhance the decision-making process.  Big Data Analytics is one of the most trending practices in the present time that organizations are adopting to construct valuable information from the big data. The data analytics methods help improve the operational efficiency of the company and drive new revenue streams and gain competitive advantages. The paper will shed light on the different challenges related to big data and different methods of data analysis. Further, it will talk about the method used for the research process, analysis of the data, and at last conclusion.  

References

Sivarajah, Kamal, Irani & Weerakkody, “Critical analysis of Big Data challenges and analytical methods”. Journal of Business Research, 2017, vol. 70, issue C, 263-286

Sharma, 2020, “Augmenting Data Warehouses with Big Data”, Information Systems Management Volume 32, Issue 3: Business Intelligence.

Alex Bekker, “The Scary Seven big data challenges”, Science soft, 2017.

Johnston, M. P. “Secondary data analysis: A method of which the time has come.” Qualitative and quantitative methods in libraries, 3(3): 619-626, (2017).

Lee, I. “Big data: Dimensions, evolution, impacts, and challenges.” Business Horizons, 60(3): 293-303, (2017).

Khan, Z. and Vorley, T., 2017. “Big data text analytics: an enabler of knowledge management” Journal of Knowledge Management

Krippendorff, K., “Content analysis: An introduction to its methodology.” Sage publications, (2017).

Cevallos-Torres, L. and Botto-Tobar, M., Monte Carlo simulation method In Problem-Based Learning: A Didactic Strategy in the Teaching of System Simulation, (pp. 87-96). Springer Cham, 2019

L’heureux, A., Grolinger, K., Elyamany, H. F., and Capretz, M. A. (2017), “Machine learning with big data: Challenges and approaches”. IEEE Access, 5: 7776-7797.

Downloads

Published

2021-03-20

How to Cite

Analysis of Big Data Challenges and Different Analytical Methods. (2021). International Journal of Engineering Research and Advanced Technology (ijerat) (E-ISSN 2454-6135) , 7(3), 33-38. https://doi.org/10.31695/IJERAT.2021.3699