Title :
Visual framework for big data in d3.js
Author :
Fan Bao ; Jia Chen
Author_Institution :
Dalian Maritime Univ., Dalian, China
Abstract :
The concepts of Data Warehouse, Cloud Computing and Big Data have been proposed during the era of data flood. By reviewing current progresses in data warehouse studies, this paper introduces a framework to achieve better visualization for Big Data. This framework can reduce the cost of building Big Data warehouses by divide data into sub dataset and visualize them respectively. Meanwhile, basing on the powerful visualization tool of D3.js and directed by the principle of Whole-Parts, current data can be presented to users from different dimensions by different rich statistics graphics.
Keywords :
Big Data; cloud computing; data visualisation; data warehouses; Big Data visualization; Big Data warehouses; D3.js; cloud computing; cost reduction; data flood; statistics graphics; subdataset; visual framework; visualization tool; whole-parts principle; Browsers; Data visualization; Image color analysis; Visualization; D3.js; Data Warehouse; Visualization;
Conference_Titel :
Electronics, Computer and Applications, 2014 IEEE Workshop on
Conference_Location :
Ottawa, ON
DOI :
10.1109/IWECA.2014.6845553