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
  • [21] Entity summarization: State of the art and future challenges
    Liu, Qingxia
    Cheng, Gong
    Gunaratna, Kalpa
    Qu, Yuzhong
    JOURNAL OF WEB SEMANTICS, 2021, 69
  • [22] Radiomics and radiotherapy: State of the art and future challenges
    De Ruysscher, D.
    RADIOTHERAPY AND ONCOLOGY, 2022, 170 : S462 - S463
  • [23] Ontology and Trust based Data Warehouse in New Generation of Business Intelligence State-of-the-art, challenges, and opportunities
    Wongthongtham, Pornpit
    Abu Salih, Bilal
    PROCEEDINGS 2015 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN), 2015, : 476 - 483
  • [24] State of the art and challenges for picking systems improvement in warehouse-a Delphi Study
    Errasti, Ander
    Chackelson, Claudia
    Arcelus, Mikel
    DIRECCION Y ORGANIZACION, 2010, 40 : 78 - 85
  • [25] Multiple neural spike train data analysis: state-of-the-art and future challenges
    Emery N Brown
    Robert E Kass
    Partha P Mitra
    Nature Neuroscience, 2004, 7 : 456 - 461
  • [26] Data Privacy in Cloud-assisted Healthcare Systems: State of the Art and Future Challenges
    Sajid, Anam
    Abbas, Haider
    JOURNAL OF MEDICAL SYSTEMS, 2016, 40 (06)
  • [27] Multiple neural spike train data analysis: state-of-the-art and future challenges
    Brown, EN
    Kass, RE
    Mitra, PP
    NATURE NEUROSCIENCE, 2004, 7 (05) : 456 - 461
  • [28] Data Privacy in Cloud-assisted Healthcare Systems: State of the Art and Future Challenges
    Anam Sajid
    Haider Abbas
    Journal of Medical Systems, 2016, 40
  • [29] Modeling Affect Dynamics: State of the Art and Future Challenges
    Hamaker, E. L.
    Ceulemans, E.
    Grasman, R. P. P. P.
    Tuerlinckx, F.
    EMOTION REVIEW, 2015, 7 (04) : 316 - 322
  • [30] Symbolic Melodic Similarity: State of the Art and Future Challenges
    Velardo, Valerio
    Vallati, Mauro
    Jan, Steven
    COMPUTER MUSIC JOURNAL, 2016, 40 (02) : 70 - 83