• DocumentCode
    3274602
  • Title

    Industrial Big Data Analytics: Lessons from the Trenches

  • Author

    Villanustre, Flavio

  • Author_Institution
    LexisNexis Risk Solutions, Reed Elsevier, Atlanta, GA, USA
  • fYear
    2015
  • fDate
    23-23 May 2015
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Big Data Analytics in particular and Data Science in general have become key disciplines in the last decade. The convergence of Information Technology, Statistics and Mathematics, to explore and extract information from Big Data have challenged the way many industries used to operate, shifting the decision making process in many organizations. A new breed of Big Data platforms has appeared, to fulfill the needs to process data that is large, complex, variable and rapidly generated. The author describes the experience in this field from a company that provides Big Data analytics as its core business.
  • Keywords
    Big Data; information retrieval; information technology; data science; industrial Big Data analytics; information extraction; information technology; mathematics; statistics; Big data; Companies; Computer architecture; Data mining; Distributed databases; Joining processes; Programming; Abstraction Models; Big Data; Dataflow Programming; Declarative Programming; Distributed Algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Big Data Software Engineering (BIGDSE), 2015 IEEE/ACM 1st International Workshop on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/BIGDSE.2015.8
  • Filename
    7165990