Big Data Analysis for Data Visualization: A Review

Zhwan M. Khalid and Subhi Zeebaree ()
Additional contact information
Zhwan M. Khalid: Information System Engineering Dept., Erbil polytechnic University, KRG-Iraq

International Journal of Science and Business, 2021, vol. 5, issue 2, 64-75

Abstract: 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 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://ijsab.com/wp-content/uploads/671.pdf (application/pdf)
https://ijsab.com/volume-5-issue-2/3545 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aif:journl:v:5:y:2021:i:2:p:64-75

Access Statistics for this article

International Journal of Science and Business is currently edited by Dr. Md Shamim Hossain

More articles in International Journal of Science and Business from IJSAB International
Bibliographic data for series maintained by Farjana Rahman ().