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Big Data Analytics for Data Visualization: Review of Techniques

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2018
Geetika Chawla, Savita Bamal, Rekha Khatana

Geetika Chawla, Savita Bamal and Rekha Khatana. Big Data Analytics for Data Visualization: Review of Techniques. International Journal of Computer Applications 182(21):37-40, October 2018. BibTeX

	author = {Geetika Chawla and Savita Bamal and Rekha Khatana},
	title = {Big Data Analytics for Data Visualization: Review of Techniques},
	journal = {International Journal of Computer Applications},
	issue_date = {October 2018},
	volume = {182},
	number = {21},
	month = {Oct},
	year = {2018},
	issn = {0975-8887},
	pages = {37-40},
	numpages = {4},
	url = {},
	doi = {10.5120/ijca2018917977},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


This is information era, where information is increasing exponentially. Extracting information in a way that the human mind can comprehend is a big challenge. Visualization plays a key role in data discovery process and in better decision making. A question still arises how to visualize interesting structures and patterns that are in hyper-dimensional data spaces. We can sketch a convincing visual story from raw data with the use of right tool. This paper focuses on Big Data visualization, its challenges, various tools. Researchers have explored a new way to visualize and analyze complex and dynamic datasets using virtual reality. We have also investigated how virtual reality has radically changed the world of Big Data Visualization.


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Big Data, Big Data Visualization, Virtual reality