Reference Hub

This research has been cited in:

Article
Data warehouse design approaches from social media: review and comparisonSocial Network Analysis and Mining10.1007/s13278-017-0423-8
Chapter
Conceptual Multidimensional Modeling for Data Warehouses: A SurveyProceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 201410.1007/978-3-319-11933-5_33
Conference
Pattern tree-based XOLAP rollup operator for XML complex hierarchies2010 International Conference on Machine and Web Intelligence10.1109/ICMWI.2010.5648088
Article
Solución web para la visualización de datos de simulaciones en saludRevista Colombiana de Computación10.29375/25392115.3720
Chapter
Data WarehouseWiley Encyclopedia of Computer Science and Engineering10.1002/9780470050118.ecse567
Chapter
Quality Metrics for Data Warehouse Multidimensional Models with Focus on Dimension Hierarchy SharingAdvances in Intelligent Informatics10.1007/978-3-319-11218-3_39
Conference
New data warehouse designing approach based on principal component analysis15th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)10.1109/SNPD.2014.6888696
Chapter
Using Conceptual Modeling to Support Machine LearningInformation Systems Engineering in Responsible Information Systems10.1007/978-3-030-21297-1_15
Article
A Semi-Automatic Design Methodology for (Big) Data Warehouse Transforming Facts into DimensionsIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2019.2925621
Article
A data-centric approach to manage business processesComputing10.1007/s00607-015-0440-2
Article
Pattern Warehouse: Context Based Modeling and Quality IssuesProceedings of the National Academy of Sciences, India Section A: Physical Sciences10.1007/s40010-015-0262-9
Chapter
A Conceptual Model of a Knowledge WarehouseEnterprise Information Systems Design, Implementation and Management10.4018/978-1-61692-020-3.ch010
Chapter
Conceptual Modeling for Data Warehouse and OLAP ApplicationsEncyclopedia of Data Warehousing and Mining, Second Edition10.4018/978-1-60566-010-3.ch047
Article
Initial Optimization Techniques for the Cube Algebra Query LanguageInternational Journal of Data Warehousing and Mining10.4018/IJDWM.299016
Chapter
DFM as a Conceptual Model for Data WarehouseEncyclopedia of Data Warehousing and Mining, Second Edition10.4018/978-1-60566-010-3.ch100

Conceptual Modeling Solutions for the Data Warehouse

Stefano Rizzi

Source Title: Data Warehouses and OLAP: Concepts, Architectures and Solutions

ISBN13: 9781599043647|ISBN10: 1599043645|EISBN13: 9781599043661

DOI: 10.4018/987-1-59904-364-7.ch001

Cite Chapter Cite Chapter

MLA

Rizzi, Stefano. "Conceptual Modeling Solutions for the Data Warehouse." Data Warehouses and OLAP: Concepts, Architectures and Solutions, edited by Robert Wrembel and Christian Koncilia, IGI Global, 2007, pp. 1-26. https://doi.org/10.4018/987-1-59904-364-7.ch001

APA

Rizzi, S. (2007). Conceptual Modeling Solutions for the Data Warehouse. In R. Wrembel & C. Koncilia (Eds.), Data Warehouses and OLAP: Concepts, Architectures and Solutions (pp. 1-26). IGI Global. https://doi.org/10.4018/987-1-59904-364-7.ch001

Chicago

Rizzi, Stefano. "Conceptual Modeling Solutions for the Data Warehouse." In Data Warehouses and OLAP: Concepts, Architectures and Solutions, edited by Robert Wrembel and Christian Koncilia, 1-26. Hershey, PA: IGI Global, 2007. https://doi.org/10.4018/987-1-59904-364-7.ch001

Export Reference

Favorite

View Full Text PDF

Abstract

In the context of data warehouse design, a basic role is played by conceptual modeling, that provides a higher level of abstraction in describing the warehousing process and architecture in all its aspects, aimed at achieving independence of implementation issues. This chapter focuses on a conceptual model called the DFM, that suits the variety of modeling situations that may be encountered in real projects of small to large complexity. The aim of the chapter is to propose a comprehensive set of solutions for conceptual modeling according to the DFM and to give the designer a practical guide for applying them in the context of a design methodology. Besides the basic concepts of multidimensional modeling, the other issues discussed are descriptive and cross-dimension attributes; convergences; shared, incomplete, recursive, and dynamic hierarchies; multiple and optional arcs; additivity.

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.

Username or email: *

Password: *

Forgot individual login password?

Create individual account

Conceptual Modeling Solutions for the Data Warehouse

MLA

APA

Chicago

Export Reference

Abstract

Request Access