• DocumentCode
    266245
  • Title

    Challenges and best practices for enterprise adoption of Big Data technologies

  • Author

    Dhar, Sudipta ; Mazumdar, Subhra

  • Author_Institution
    San Jose State Univ., San Jose, CA, USA
  • fYear
    2014
  • fDate
    12-15 June 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, we discuss the emerging use of Big Data technologies in Enterprise Data Warehouses and Business Intelligence for the purpose of fostering innovation and producing better business insights and decisions. We present best practices and techniques of Big Data implementation using a 3-legged Big Data environment strategy along with the challenges of enterprise adoption of Big Data technologies. Hence this paper is relevant from an academic as well as a practitioner´s perspective.
  • Keywords
    Big Data; business data processing; competitive intelligence; data warehouses; Big Data technologies; business insights; business intelligence; enterprise adoption; enterprise data warehouses; Best practices; Big data; Data models; Data visualization; Organizations; Scalability; Big Data; Business analytics; Data Mining; Hadoop; Map Reduce; NoSQL;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Technology Management Conference (ITMC), 2014 IEEE International
  • Conference_Location
    Chicago, IL
  • Type

    conf

  • DOI
    10.1109/ITMC.2014.6918592
  • Filename
    6918592
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=266245