|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 182 - Issue 21 |
| Published: Oct 2018 |
| Authors: Geetika Chawla, Savita Bamal, Rekha Khatana |
10.5120/ijca2018917977
|
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.