• DocumentCode
    710285
  • Title

    Using Hadoop on the Mainframe: A Big Solution for the Challenges of Big Data

  • Author

    Seay, Cameron ; Agrawal, Rajeev ; Kadadi, Anirudh ; Barel, Yannick

  • Author_Institution
    Dept. of Comput. Syst. Technol., North Carolina A & T State Univ., Greensboro, NC, USA
  • fYear
    2015
  • fDate
    13-15 April 2015
  • Firstpage
    765
  • Lastpage
    769
  • Abstract
    Big Data technologies like hadoop are transforming analytics and processing, but is there a role mainframe can play in improving big data analytics deployed in organizations´ private clouds? Over the period of 60 years, mainframe has contributed extensively to the IT industry but has been replaced by newer machines and methods these days. In this paper we will examine some potential advantages mainframe and its advanced virtualization capability can provide to analytics using hadoop to seamlessly access the vast repositories of data which reside in the proprietary formats.
  • Keywords
    Big Data; cloud computing; data analysis; parallel processing; Big Data analytics technology; Hadoop; IT industry; advanced virtualization capability; data repository; organization private clouds; Big data; Data mining; Industries; Linux; Organizations; Servers; Big Data; ETL; Hadoop; Linux; mainframe; virtualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology - New Generations (ITNG), 2015 12th International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4799-8827-3
  • Type

    conf

  • DOI
    10.1109/ITNG.2015.135
  • Filename
    7113574