International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 182 - Issue 21 |
Published: Oct 2018 |
Authors: Geetika Chawla, Savita Bamal, Rekha Khatana |
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Geetika Chawla, Savita Bamal, Rekha Khatana . Big Data Analytics for Data Visualization: Review of Techniques. International Journal of Computer Applications. 182, 21 (Oct 2018), 37-40. DOI=10.5120/ijca2018917977
@article{ 10.5120/ijca2018917977, author = { Geetika Chawla,Savita Bamal,Rekha Khatana }, title = { Big Data Analytics for Data Visualization: Review of Techniques }, journal = { International Journal of Computer Applications }, year = { 2018 }, volume = { 182 }, number = { 21 }, pages = { 37-40 }, doi = { 10.5120/ijca2018917977 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2018 %A Geetika Chawla %A Savita Bamal %A Rekha Khatana %T Big Data Analytics for Data Visualization: Review of Techniques%T %J International Journal of Computer Applications %V 182 %N 21 %P 37-40 %R 10.5120/ijca2018917977 %I Foundation of Computer Science (FCS), NY, 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.