• DocumentCode
    247150
  • Title

    Challenges and Trends of Big Data Analytics

  • Author

    Hui Li ; Xin Lu

  • Author_Institution
    Inst. of Informatization State Inf. Center, Beijing, China
  • fYear
    2014
  • fDate
    8-10 Nov. 2014
  • Firstpage
    566
  • Lastpage
    567
  • Abstract
    This article provides an overview of the challenges of big data, in the aspects of data scale, data heterogeneity, data timeliness, and demand for deep analyzing, in correspondence with four features of big data. It also presents an overview of trends of big data analytics both in theory and technique, with the development of testing benchmark, visualization technology, advanced and mixed architecture, and a series of developing, testing and managing tools, which will contribute to big data analytics with larger scale, more variety and velocity.
  • Keywords
    Big Data; data analysis; big data analytics; data heterogeneity; data scale; data timeliness; development tools; management tools; testing benchmark development; testing tools; visualization technology; Big data; Biological system modeling; Computational modeling; Data visualization; Databases; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), 2014 Ninth International Conference on
  • Conference_Location
    Guangdong
  • Type

    conf

  • DOI
    10.1109/3PGCIC.2014.136
  • Filename
    7024647