Data Warehouse State of the art and future challenges

被引:0
|
作者
El Moukhi, Nawfal [1 ]
El Azami, Ikram [1 ]
Mouloudi, Aziz [1 ]
机构
[1] FSK, Dept Comp Sci, Kenitra, Morocco
关键词
Business intelligence; Data Warehouse; Data Mining; Multidimensional databases; OLAP;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页码:306 / 311
页数:6
相关论文
共 50 条
  • [1] Volunteer Data Warehouse: State of the Art
    Sakka, Amir
    Bimonte, Sandro
    Pinet, Francois
    Sautot, Lucile
    [J]. INTERNATIONAL JOURNAL OF DATA WAREHOUSING AND MINING, 2021, 17 (03) : 1 - 21
  • [2] Global archaeomagnetic data: The state of the art and future challenges
    Brown, Maxwell C.
    Hervé, Gwenaël
    Korte, Monika
    Genevey, Agnès
    [J]. Physics of the Earth and Planetary Interiors, 2021, 318
  • [3] Global archaeomagnetic data: The state of the art and future challenges
    Brown, Maxwell C.
    Herve, Gwenael
    Korte, Monika
    Genevey, Agnes
    [J]. PHYSICS OF THE EARTH AND PLANETARY INTERIORS, 2021, 318
  • [4] Grand challenges in data integration—state of the art and future perspectives: an introduction
    Cinzia Daraio
    Wolfgang Glänzel
    [J]. Scientometrics, 2016, 108 : 391 - 400
  • [5] Visualization of Cultural Heritage Collection Data: State of the Art and Future Challenges
    Windhager, Florian
    Federico, Paolo
    Schreder, Guenther
    Glinka, Katrin
    Doerk, Marian
    Miksch, Silvia
    Mayr, Eva
    [J]. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2019, 25 (06) : 2311 - 2330
  • [6] Anonymisation Models for Text Data: State of the Art, Challenges and Future Directions
    Lison, Pierre
    Pilan, Ildiko
    Sanchez, David
    Batet, Montserrat
    Ovrelid, Lilja
    [J]. 59TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 11TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (ACL-IJCNLP 2021), VOL 1, 2021, : 4188 - 4203
  • [7] Streaming Remote Sensing Data Processing for the Future Smart Cities: State of the Art and Future Challenges
    Sun, Xihuang
    Liu, Peng
    Ma, Yan
    Liu, Dingsheng
    Sun, Yechao
    [J]. INTERNATIONAL JOURNAL OF DISTRIBUTED SYSTEMS AND TECHNOLOGIES, 2016, 7 (01) : 1 - 14
  • [8] Vadose Zone Model-Data Fusion: State of the Art and Future Challenges
    Huisman, Johan A.
    Vrugt, Jasper A.
    Ferre, Ty P. A.
    [J]. VADOSE ZONE JOURNAL, 2012, 11 (04):
  • [9] Grand challenges in data integration-state of the art and future perspectives: an introduction
    Daraio, Cinzia
    Glanzel, Wolfgang
    [J]. SCIENTOMETRICS, 2016, 108 (01) : 391 - 400
  • [10] State of the art and future challenges of zeolites as catalysts
    Corma, A
    [J]. JOURNAL OF CATALYSIS, 2003, 216 (1-2) : 298 - 312