• DocumentCode
    3697519
  • Title

    Data warehouse state of the art and future challenges

  • Author

    Nawfal El Moukhi;Ikram El Azami;Aziz Mouloudi

  • Author_Institution
    Dept. of computer science, FSK, Kenitra, Morocco
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The evolution of the computer world and the proliferation of storage devices has led to an explosion of available information, so that made their exploitation difficult. In addition, it has been found that a large part of this data will not be stored or used; however, it constitutes a precious raw material to understand the activity and anticipate its evolution., To cope with these problems, professionals implemented a decision making support systems (or decision support systems) and which allow a synthetic and multidimensional treatment of all available and stored information, hence the birth of the data warehouse and data mining techniques. This paper introduces the data warehousing, gives researchers terminologies necessary for understanding the process, and summarizes its evolution. It also presents an analysis of the latest research in the field, and explores the future trends. And therefore, this study provides a reference for researchers wishing to contribute in this area.
  • Keywords
    "Data warehouses","Data mining","Data models","Warehousing","Databases","Unified modeling language","Artificial intelligence"
  • Publisher
    ieee
  • Conference_Titel
    Cloud Technologies and Applications (CloudTech), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/CloudTech.2015.7337004
  • Filename
    7337004