• DocumentCode
    1791641
  • Title

    Increasing the accessibility to Big Data systems via a common services API

  • Author

    Malcolm, Rohan ; Morrison, Cherrelle ; Grandison, Tyrone ; Thorpe, Sean ; Christie, Kimron ; Wallace, Akim ; Green, Dale ; Jarrett, Julian ; Campbell, Arnett

  • Author_Institution
    Comput. Sci. Res. Group, Univ. of Technol., St. Andrew, Jamaica
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    883
  • Lastpage
    892
  • Abstract
    Despite the plethora of polls, surveys, and reports stating that most companies are embracing Big Data, there is slow adoption of Big Data technologies, like Hadoop, in enterprises. One of the primary reasons for this is that companies have significant investments in legacy languages and systems and the process of migrating to newer (Big Data) technologies would represent a substantial commitment of time and money, while threatening the ir short-term service quality and revenue goals. In this paper, we propose a possible solution that enables existing infrastructure to access Big Data systems via a services application programming interface (API); minimizing the migration drag and (possibly negative) business repercussions.
  • Keywords
    Big Data; application program interfaces; business data processing; Big Data systems accessibility; Big Data technologies; Hadoop; common services API; companies; enterprises; legacy languages; legacy systems; services application programming interface; short-term service quality; Arrays; Big data; Business; Semantics; Standards organizations; XML; API; Big Data; Big Data Systems; Hadoop;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Big Data (Big Data), 2014 IEEE International Conference on
  • Conference_Location
    Washington, DC
  • Type

    conf

  • DOI
    10.1109/BigData.2014.7004319
  • Filename
    7004319