• DocumentCode
    3576406
  • Title

    Design process for Big Data Warehouses

  • Author

    Di Tria, Francesco ; Lefons, Ezio ; Tangorra, Filippo

  • Author_Institution
    Dipt. di Inf., Univ. degli Studi di Bari “Aldo Moro”, Bari, Italy
  • fYear
    2014
  • Firstpage
    512
  • Lastpage
    518
  • Abstract
    Big Data Warehouses differ substantially from traditional data warehouses in that their schema should be based on novel logical models that allow more flexibility than that the relational model does. Furthermore, their design methodology also requires new principles, such as automation and agile techniques, in order to gain both a fast realization and reaction to changes in business requirements. In the paper, we discuss the new features of big data warehouses and present an innovative design methodology based on the key-value model.
  • Keywords
    Big Data; business data processing; data warehouses; big data warehouses; business requirements; innovative design methodology; key-value model; logical models; Cities and towns; IP networks; automation; design; key-value;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Science and Advanced Analytics (DSAA), 2014 International Conference on
  • Type

    conf

  • DOI
    10.1109/DSAA.2014.7058120
  • Filename
    7058120