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  1. Proceedings of the 9th ACM international workshop on Data warehousing and OLAP (DOLAP '06)
  2. Research in data warehouse modeling and design: dead or alive?
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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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Research in data warehouse modeling and design: dead or alive?

Content Provider ACM Digital Library
Author Abelló, Alberto Trujillo, Juan Lechtenbörger, Jens Rizzi, Stefano
Abstract Multidimensional modeling requires specialized design techniques. Though a lot has been written about how a data warehouse should be designed, there is no consensus on a design method yet. This paper follows from a wide discussion that took place in Dagstuhl, during the Perspectives Workshop "Data Warehousing at the Crossroads", and is aimed at outlining some open issues in modeling and design of data warehouses. More precisely, issues regarding conceptual models, logical models, methods for design, interoperability, and design for new architectures and applications are considered.
Starting Page 3
Ending Page 10
Page Count 8
File Format PDF
ISBN 1595935304
DOI 10.1145/1183512.1183515
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2006-11-10
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Multidimensional modeling Data warehouse design
Content Type Text
Resource Type Article
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