• DocumentCode
    658483
  • Title

    Strategic Alignment of Cloud-Based Architectures for Big Data

  • Author

    Schmidt, R. ; Mohring, Michael

  • Author_Institution
    Bus. Inf. Syst., Aalen Univ., Aalen, Germany
  • fYear
    2013
  • fDate
    9-13 Sept. 2013
  • Firstpage
    136
  • Lastpage
    143
  • Abstract
    Big Data is an increasingly significant topic for management and IT departments. In the beginning, Big Data applications were large on premise installations. Today, cloud services are used increasingly to implement Big Data applications. This can be done on different ways supporting different strategic enterprise goals. Therefore, we develop a framework that enumerates the alternatives for implementing Big Data applications using cloud-services and identify the strategic goals supported by these Alternatives. The created framework clarifies the options for Big Data initiatives using cloud-computing and thus improves the strategic alignment of Big Data applications.
  • Keywords
    Big Data; cloud computing; competitive intelligence; Big Data applications; business intelligence; cloud computing; cloud services; cloud-based architecture; strategic alignment; strategic enterprise goal; Computer architecture; Data handling; Data storage systems; Information management; Pipelines; Software; Alignment; Big Data; Enterprise Architecture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Enterprise Distributed Object Computing Conference Workshops (EDOCW), 2013 17th IEEE International
  • Conference_Location
    Vancouver, BC
  • Type

    conf

  • DOI
    10.1109/EDOCW.2013.22
  • Filename
    6690544