Supporting object and relational data in a data warehouse

被引:0
|
作者
Suribhatla, R [1 ]
Miller, L [1 ]
Owrang, OMM [1 ]
机构
[1] Iowa State Univ, Dept Comp Sci, Ames, IA 50011 USA
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Data warehouses with proven capabilities to deal with the massive amounts of information have already won the acceptance of many large organizations. This acceptance now is having users look for support of more complex data rather than just supporting data from legacy file systems and relational databases. While the incorporation of the object database technology has been one choice, the Object/Relational Database Management Systems (ORDBMSs), a blend of the Relational and Object technologies aimed at reaping the best of the both, is the preferred option. This paper presents a model for an ORDBMS based data warehouse. The model provides an infrastructure for the user to work with data represented in the form of classes, analyze it using tools, and also query the database at an abstract level. The model has been tested with a prototype using Oracle 8 in the backend and Java to build the analysis tools and user interface.
引用
收藏
页码:496 / 499
页数:4
相关论文
共 50 条
  • [1] On methods' materialization in object-relational data warehouse
    Bebel, B
    Królikowski, Z
    Wrembel, R
    [J]. ADVANCES IN INFORMATION SYSTEMS, 2002, 2457 : 425 - 434
  • [2] Supporting temporal data in a data warehouse
    Shin, YO
    Park, SK
    Baik, DK
    Ryu, KH
    [J]. PROCEEDINGS OF THE HIGH-PERFORMANCE COMPUTING (HPC'98), 1998, : 139 - 144
  • [3] Implementing spatial data warehouse hierarchies in object-relational DBMSs
    Malinowski, Elzbieta
    Zimanyi, Esteban
    [J]. ICEIS 2007: PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS: DATABASES AND INFORMATION SYSTEMS INTEGRATION, 2007, : 186 - 191
  • [4] Optimization Slowly Changing Dimensions of a Data Warehouse using Object-Relational
    Cofre Loyola, Rodrigo
    Urrutia Sepulveda, Angelica
    Wilson Hernandez, Manuel
    [J]. 2015 34TH INTERNATIONAL CONFERENCE OF THE CHILEAN COMPUTER SCIENCE SOCIETY (SCCC), 2015,
  • [5] The Implementation of Data Warehouse Supporting Intuitionistic Fuzzy Data
    Jiang Junqing
    Feng Weirui
    Wu Yun-ting
    [J]. COMPUTATIONAL MATERIALS SCIENCE, PTS 1-3, 2011, 268-270 : 1006 - +
  • [6] Multi Relational Rules Mining in Data Warehouse
    Zhang, Youdong
    [J]. WKDD: 2009 SECOND INTERNATIONAL WORKSHOP ON KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS, 2009, : 944 - 947
  • [7] A Relational Data Warehouse for Multidimensional Process Mining
    Vogelgesang, Thomas
    Appelrath, H. -Juergen
    [J]. DATA-DRIVEN PROCESS DISCOVERY AND ANALYSIS, SIMPDA 2015, 2017, 244 : 155 - 184
  • [8] A relational-XML data warehouse for data aggregation with SQL and XQuery
    Fong, Joseph
    Shiu, Herbert
    Cheung, Davy
    [J]. SOFTWARE-PRACTICE & EXPERIENCE, 2008, 38 (11): : 1183 - 1213
  • [9] Ingestion of a Data Lake into a NoSQL Data Warehouse: The Case of Relational Databases
    Abdelhedi, Fatma
    Jemmali, Rym
    Zurfluh, Gilles
    [J]. PROCEEDINGS OF THE 13TH INTERNATIONAL JOINT CONFERENCE ON KNOWLEDGE DISCOVERY, KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT (KMIS), VOL 3, 2021, : 64 - 72
  • [10] Supporting streaming updates in an active data warehouse
    Polyzotis, Neoklis
    Skiadopoulos, Spiros
    Vassiliadis, Panos
    Simitsis, Alkis
    Frantzell, Nils-Erik
    [J]. 2007 IEEE 23RD INTERNATIONAL CONFERENCE ON DATA ENGINEERING, VOLS 1-3, 2007, : 451 - +