• DocumentCode
    162365
  • Title

    Company level Big Data Management

  • Author

    Orosz, Tamas ; Orosz, Istvan

  • fYear
    2014
  • fDate
    15-17 May 2014
  • Firstpage
    299
  • Lastpage
    303
  • Abstract
    Carefully Processing enormous data in Company-level evokes new tools and methods in Enterprise Data Management. The volume of information and data increases in an exponential way, which makes strategic issues not only for individuals but also in Company-level. Typical approaches are well known for these kinds of problems. Date is stored in Databases, Data warehouses and Cloud applications. There are various well-known and appropriate solutions are ready-to-use for any of the above listed applications, but they are rarely complete at Corporation levels. Therefore, Enterprises require temporary solutions. The current article discusses the main issues together with the complete and temporary solutions for typical Data management. Effectiveness, efficiency and costs are demonstrated in different point of views, e.g. Project and Knowledge Management.
  • Keywords
    Big Data; business data processing; cloud applications; company level big data management; data warehouses; databases; enterprise data management; knowledge management; project management; Big data; Bismuth; Companies; Informatics; Standards; Big Data Management; Cost-efficiency; ERP Systems; change management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Computational Intelligence and Informatics (SACI), 2014 IEEE 9th International Symposium on
  • Conference_Location
    Timisoara
  • Type

    conf

  • DOI
    10.1109/SACI.2014.6840081
  • Filename
    6840081