• DocumentCode
    3526015
  • Title

    Hadoop as Big Data Operating System -- The Emerging Approach for Managing Challenges of Enterprise Big Data Platform

  • Author

    Mazumdar, Sourav ; Dhar, Subhankar

  • Author_Institution
    IBM Software Group, San Jose, CA, USA
  • fYear
    2015
  • fDate
    March 30 2015-April 2 2015
  • Firstpage
    499
  • Lastpage
    505
  • Abstract
    Over last few years, innovation in Hadoop and other related Big Data technologies in last few years brings on to the table a lot of promises around better management of enterprise data at much lesser cost and with high value business benefits. In this paper, we propose to delve into details of these challenges from practitioners´ perspective based on lessons learnt from various Big Data implementation scenarios. We also aim to discuss the emerging concept of Hadoop as Big Data Operating System to address these challenges with a holistic proposition. Finally, we also plan to provide a prescriptive approach based on best practices which can help moving towards the vision of Enterprise Big Data Platform using Hadoop as Data Operating System balancing between short term objectives and long term goals of managing and maintaining Enterprise Big Data Platform.
  • Keywords
    Big Data; business data processing; data mining; database management systems; operating systems (computers); Big Data operating system; Big Data technologies; Hadoop; data mining; enterprise Big Data platform; enterprise data management; high value business benefits; Big data; Engines; Industries; Operating systems; Organizations; Production; Big Data; Business analytics; Data Mining; Hadoop; Map Reduce; NoSQL;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Big Data Computing Service and Applications (BigDataService), 2015 IEEE First International Conference on
  • Conference_Location
    Redwood City, CA
  • Type

    conf

  • DOI
    10.1109/BigDataService.2015.72
  • Filename
    7184922