Comprehensive survey on data warehousing research

被引:17
|
作者
Chandra P. [1 ]
Gupta M.K. [2 ]
机构
[1] University School of Information, Communication & Technology, Guru Gobind Singh Indraprastha University, Delhi
[2] Rukmini Devi Institute of Advanced Studies, Delhi
关键词
Data warehouse design; Data warehouse testing; Data warehousing; OLAP; Research trends; Survey;
D O I
10.1007/s41870-017-0067-y
中图分类号
学科分类号
摘要
Data, information and knowledge have important role in various human activities because by processing data, information is extracted and by analyzing data and information the knowledge is extracted. The problem of storing, managing and analyzing the huge volumes of data, which is generated regularly by the various sources has been arisen which leads to the need of large data repositories, e.g. data warehouses. In view of the above, a considerable amount attention of research and industry has been attracted by the data warehousing (DW). Various issues and challenges in the field of data warehousing are presented in many studies during the recent years. In this paper, a comprehensive survey is presented to take a holistic view of the research trends in the fields of data warehousing. This paper presents a systematic division of work of researchers in the fields of data warehousing. Finally, current research issues and challenges in the area of data warehousing are summarized for future directions. © 2017, Bharati Vidyapeeth's Institute of Computer Applications and Management.
引用
收藏
页码:217 / 224
页数:7
相关论文
共 50 条
  • [41] Data transformation for warehousing Web data
    Zhu, Y
    Bornhövd, C
    Buchmann, AP
    THIRD INTERNATIONAL WORKSHOP ON ADVANCED ISSUES OF E-COMMERCE AND WEB-BASED INFORMATION SYSTEMS, PROCEEDINGS, 2001, : 74 - 85
  • [42] A Casestudy of Data Models in Data Warehousing
    Mishra, Deepti
    Yazici, Ali
    Basaran, Beril Pinar
    2008 FIRST INTERNATIONAL CONFERENCE ON THE APPLICATIONS OF DIGITAL INFORMATION AND WEB TECHNOLOGIES, VOLS 1 AND 2, 2008, : 321 - 326
  • [43] Data Warehousing: Cleaning and Transforming Data
    White, C.
    InfoDB, 10 (06):
  • [44] Biclustering data analysis: a comprehensive survey
    Castanho, Eduardo N.
    Aidos, Helena
    Madeira, Sara C.
    BRIEFINGS IN BIOINFORMATICS, 2024, 25 (04)
  • [45] Beyond data warehousing→data logistics
    Karlapalem, K
    KNOWLEDGE MANAGEMENT & INTELLIGENT ENTERPRISES, 2001, : 29 - 33
  • [46] A Framework for Data Quality in Data Warehousing
    Nemani, Rao R.
    Konda, Ramesh
    INFORMATION SYSTEMS: MODELING, DEVELOPMENT, AND INTEGRATION: THIRD INTERNATIONAL UNITED INFORMATION SYSTEMS CONFERENCE, UNISCON 2009, 2009, 20 : 292 - +
  • [47] Data Warehousing, Data Mining, & OLAP
    Gupta, Palak
    JIMS8M-THE JOURNAL OF INDIAN MANAGEMENT & STRATEGY, 2019, 24 (02) : 64 - 64
  • [48] A comprehensive survey for generative data augmentation
    Chen, Yunhao
    Yan, Zihui
    Zhu, Yunjie
    NEUROCOMPUTING, 2024, 600
  • [49] Issues in Data mining: A comprehensive survey
    Purwar, Archana
    Singh, Sandeep Kumar
    2014 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMPUTING RESEARCH (IEEE ICCIC), 2014, : 657 - 662
  • [50] A Comprehensive Survey on Data Storage and Retrieval
    Eswarawaka, Rajesh
    Sumalatha, U.
    Krishna, Siva Sai K.
    Karnegari, Vivek Reddy
    2017 INTERNATIONAL CONFERENCE ON INNOVATIVE MECHANISMS FOR INDUSTRY APPLICATIONS (ICIMIA), 2017, : 676 - 680