• DocumentCode
    2767179
  • Title

    Big Data analytics

  • Author

    Singh, Sachchidanand ; Singh, Nirmala

  • Author_Institution
    Bus. Analytics Div., IBM India Software Lab. (ISL), Pune, India
  • fYear
    2012
  • fDate
    19-20 Oct. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, we explain the concept, characteristics & need of Big Data & different offerings available in the market to explore unstructured large data. This paper covers Big Data adoption trends, entry & exit criteria for the vendor and product selection, best practices, customer success story, benefits of Big Data analytics, summary and conclusion. Our analysis illustrates that the Big Data analytics is a fast-growing, influential practice and a key enabler for the social business. The insights gained from the user generated online contents and collaboration with customers is critical for success in the age of social media.
  • Keywords
    business data processing; data analysis; data structures; data visualisation; social networking (online); big data analytics; customer success story; entry-&-exit criteria; product selection; social business; social media; unstructured large data; user generated online collaboration; user generated online contents; vendor selection; Computers; Data handling; Data storage systems; Databases; Information management; Media; Data-warehousing-as-a Service (DaaS); InfoSphere BigInsights; Massively Parallel Processing (MPP); Omne optimizer & SAND Analytic Platform; ParAccel Analytic Database (PADB); WX2;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication, Information & Computing Technology (ICCICT), 2012 International Conference on
  • Conference_Location
    Mumbai
  • Print_ISBN
    978-1-4577-2077-2
  • Type

    conf

  • DOI
    10.1109/ICCICT.2012.6398180
  • Filename
    6398180