• DocumentCode
    167361
  • Title

    Visual framework for big data in d3.js

  • Author

    Fan Bao ; Jia Chen

  • Author_Institution
    Dalian Maritime Univ., Dalian, China
  • fYear
    2014
  • fDate
    8-9 May 2014
  • Firstpage
    47
  • Lastpage
    50
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Computer and Applications, 2014 IEEE Workshop on
  • Conference_Location
    Ottawa, ON
  • Type

    conf

  • DOI
    10.1109/IWECA.2014.6845553
  • Filename
    6845553