• DocumentCode
    623994
  • Title

    Big data: A review

  • Author

    Sagiroglu, Seref ; Sinanc, Duygu

  • Author_Institution
    Dept. of Comput. Eng., Gazi Univ., Ankara, Turkey
  • fYear
    2013
  • fDate
    20-24 May 2013
  • Firstpage
    42
  • Lastpage
    47
  • Abstract
    Big data is a term for massive data sets having large, more varied and complex structure with the difficulties of storing, analyzing and visualizing for further processes or results. The process of research into massive amounts of data to reveal hidden patterns and secret correlations named as big data analytics. These useful informations for companies or organizations with the help of gaining richer and deeper insights and getting an advantage over the competition. For this reason, big data implementations need to be analyzed and executed as accurately as possible. This paper presents an overview of big data´s content, scope, samples, methods, advantages and challenges and discusses privacy concern on it.
  • Keywords
    data analysis; data privacy; big data advantage; big data challenge; big data content; big data method; big data privacy; big data sample; big data scope; data analysis; data storage; data visualization; Data handling; Data models; Data storage systems; Information management; Organizations; Security; big data; value; variety; velocity; verification; volume;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Collaboration Technologies and Systems (CTS), 2013 International Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4673-6403-4
  • Type

    conf

  • DOI
    10.1109/CTS.2013.6567202
  • Filename
    6567202