ISSN: 2520-4750 (Online), 2521-3040 (Print)

Big Data Analysis for Data Visualization: A Review

Author (s)

Zhwan M. Khalid, Subhi R. M. Zeebaree


­One of the main characteristics of scaling data is complexity. Heterogeneous data contributes to data integration and the process of big data problems. Both of them are essential and difficult to visualize and interpret large-scale databases since they require considerable data processing and storage capacity. The data age, where data grows exponentially, is a significant struggle to extract data in a manner that the human mind can grasp. This paper reviews and provides data visualization and the Heterogeneous Distributed Storage description and their challenges using different methods through some previous researches. Besides, the results of reviewed research works are compared, and the fundamental shift in the world of large data visualization of virtual reality is discussed.

 Keywords: Big Data, Heterogeneous, Visualization, Distribute Data Value.

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Title:Big Data Analysis for Data Visualization: A Review
Author:Zhwan M. Khalid, Subhi R. M. Zeebaree
Journal Name:International Journal of Science and Business
ISSN:ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
Acceptance Date:20/01/2021
Date of Publication:25/01/2021
Free download:Available
First Page:64
Last Page:75
Paper Type:Literature Review
Current Status:Published


Cite This Article:

Khalid, Z. M. and Zeebaree, S. R. M. (2021). Big Data Analysis for Data Visualization: A Review. International Journal of Science and Business, 5(2), 64-75. doi:

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About Author (s)

Zhwan M. Khalid (corresponding author), Information System Engineering Dept.,  Erbil polytechnic University, KRG-Iraq.

Subhi R.M Zeebaree, Duhok Polytechnic University, KRG-Iraq.


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