starER: a conceptual model for data warehouse design
Proceedings of the 2nd ACM international workshop on Data warehousing and OLAP
Data warehousing: using the Wal-Mart model
Data warehousing: using the Wal-Mart model
Building the Data Warehouse,3rd Edition
Building the Data Warehouse,3rd Edition
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
Conceptual modeling for ETL processes
Proceedings of the 5th ACM international workshop on Data Warehousing and OLAP
DEXA '00 Proceedings of the 11th International Conference on Database and Expert Systems Applications
A Comparison of Data Warehouse Development Methodologies Case Study of the Process Warehouse
DEXA '02 Proceedings of the 13th International Conference on Database and Expert Systems Applications
Conceptual Design of Data Warehouses from E/R Schema
HICSS '98 Proceedings of the Thirty-First Annual Hawaii International Conference on System Sciences-Volume 7 - Volume 7
Multidimensional normal forms for data warehouse design
Information Systems
Semantic integration: a survey of ontology-based approaches
ACM SIGMOD Record
Resolution of Semantic Heterogeneity in Database Schema Integration Using Formal Ontologies
Information Technology and Management
Goal-oriented requirement analysis for data warehouse design
Proceedings of the 8th ACM international workshop on Data warehousing and OLAP
Mapping conceptual to logical models for ETL processes
Proceedings of the 8th ACM international workshop on Data warehousing and OLAP
Model-Driven Dashboards for Business Performance Reporting
EDOC '06 Proceedings of the 10th IEEE International Enterprise Distributed Object Computing Conference
Designing ETL processes using semantic web technologies
DOLAP '06 Proceedings of the 9th ACM international workshop on Data warehousing and OLAP
A UML profile for multidimensional modeling in data warehouses
Data & Knowledge Engineering - Special issue: ER 2003
A UML-based data warehouse design method
Decision Support Systems
An MDA-based approach for database re-engineering
Journal of Software Maintenance and Evolution: Research and Practice
An MDA approach for the development of data warehouses
Decision Support Systems
A Mixed Approach for Data Warehouse Conceptual Design with MDA
ICCSA '08 Proceedings of the international conference on Computational Science and Its Applications, Part II
UML-Based Modeling for What-If Analysis
DaWaK '08 Proceedings of the 10th international conference on Data Warehousing and Knowledge Discovery
Model-Driven Metadata for OLAP Cubes from the Conceptual Modelling of Data Warehouses
DaWaK '08 Proceedings of the 10th international conference on Data Warehousing and Knowledge Discovery
Natural language reporting for ETL processes
Proceedings of the ACM 11th international workshop on Data warehousing and OLAP
Orchid: Integrating Schema Mapping and ETL
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
A generic and customizable framework for the design of ETL scenarios
Information Systems - Special issue: The 15th international conference on advanced information systems engineering (CAiSE 2003)
A data warehouse engineering process
ADVIS'04 Proceedings of the Third international conference on Advances in Information Systems
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The data warehousing architecture is defined through several heterogeneous and interrelated layers. Each layer contains different components, using different modeling profiles, and depends on several technologies. Data Warehouse (DW) projects are also exposed to several technical risks and require more knowledge about the underlying business domain. These aspects increase the costs and the time of DW development and make it a very difficult and challenging task. Several Data Warehouses (DWs) design frameworks and engineering processes have been proposed during the last few years. However, the framework-oriented approaches fail to provide an integrated and standard framework that addresses the design of all DW layers. The process-oriented approaches fail also to define an engineering process that address the whole development cycle of DW with an iterative and incremental manner while considering both the business and the technical requirements. In addition, not much effort was devoted to unify the two into a single integrated approach. In this paper, we address this issue by proposing a unified method for developing DWs based on the Model Driven Architecture (MDA) and the 2 Track Unified Process (2TUP) standards. Finally, we introduce the architecture of a tool that implements the proposed model-driven data warehouse approach.