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  1. Proceedings of the 9th ACM international workshop on Data warehousing and OLAP (DOLAP '06)
  2. Triple-driven data modeling methodology in data warehousing: a case study
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Formal specification and optimization of ETL scenarios
Enhanced mining of association rules from data cubes
Building a web warehouse for accessibility data
Designing ETL processes using semantic web technologies
Research in data warehouse modeling and design: dead or alive?
HYPE: mining hierarchical sequential patterns
Designing what-if analysis: towards a methodology
Computing closest common subexpressions for view selection problems
A study on workload-aware wavelet synopses for point and range-sum queries
Triple-driven data modeling methodology in data warehousing: a case study
Towards a logical multidimensional model for spatial data warehousing and OLAP
Pre-aggregation with probability distributions
Heuristic design of property maps

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Efficiency and effectiveness of data warehousing: a case study.

Triple-driven data modeling methodology in data warehousing: a case study

Content Provider ACM Digital Library
Author Tang, Shiwei Yang, Dongqing Guo, Yuhong Tong, Yunhai
Abstract In this paper, we present a useful data modeling methodology in data warehousing which integrates three existing approaches normally used in isolation: goal-driven, data-driven and user-driven. It comprises of four stages. Goal-driven stage produces subjects and KPIs(Key Performance Indicators) of main business fields. Data-driven stage produces subject oriented enterprise data schema. User-driven stage yields analytical requirements represented by measures and dimensions of each subject. Combination stage combines the triple-driven results. By triple-driven, we can get a more complete, more structured and more layered data model of a data warehouse. We illustrate each stage step by step using examples in our case study.
Starting Page 59
Ending Page 66
Page Count 8
File Format PDF
ISBN 1595935304
DOI 10.1145/1183512.1183524
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2006-11-10
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Case study Requirement analysis Data warehouse design
Content Type Text
Resource Type Article
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