• DocumentCode
    2198380
  • Title

    Big data and its applications: A review

  • Author

    Rout, Trilochan ; Garanayak, Mamata ; Senapati, Manas Ranjan ; Kamilla, Sushanta Kumar

  • Author_Institution
    NM Institute of Engineering & Technology, Department of CSE, Bhubaneswar, India
  • fYear
    2015
  • fDate
    24-25 Jan. 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Big data is an overall compatible term for any collection of data sets too large and complex. It is difficult to process them using traditional data processing applications. Here the challenges include analyzing, capturing, searching, sharing, storage, transferring, visualization, and violations of privacy. The trend to larger data sets is due to the additional information derived from analysis of a single large set of data which are related with one another, as compared to separate smaller sets with the same amount of data totally which allows correlations to be found to trends in business applications, preventing diseases and reducing crime and so on. Big data is a term that describes any huge amount of structural, semi-structural and unstructured data that has the potential to be mined for information. Big data doesn´t refer to any specific quantity yet. The term is often used when speaking about petabytes and exabytes of data.
  • Keywords
    Benchmark testing; Big data; Business; Computer architecture; Correlation; Databases; Software; CDR(call detail records); exabytes; petabytes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical, Electronics, Signals, Communication and Optimization (EESCO), 2015 International Conference on
  • Conference_Location
    Visakhapatnam, India
  • Print_ISBN
    978-1-4799-7676-8
  • Type

    conf

  • DOI
    10.1109/EESCO.2015.7253972
  • Filename
    7253972