An overview of data warehousing and OLAP technology
ACM SIGMOD Record
Conceptual modeling for ETL processes
Proceedings of the 5th ACM international workshop on Data Warehousing and OLAP
A Standard for Representing Multidimensional Properties: The Common Warehouse Metamodel (CWM)
ADBIS '02 Proceedings of the 6th East European Conference on Advances in Databases and Information Systems
MDA Explained: The Model Driven Architecture: Practice and Promise
MDA Explained: The Model Driven Architecture: Practice and Promise
Applying MDA to the development of data warehouses
Proceedings of the 8th ACM international workshop on Data warehousing and OLAP
The Data Warehouse Lifecycle Toolkit
The Data Warehouse Lifecycle Toolkit
Enabling tool reuse and interoperability through model-driven engineering
Journal of Computational Methods in Sciences and Engineering - Special Supplement Issue in Section A and B: Selected Papers from the ISCA International Conference on Software Engineering and Data Engineering, 2009
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Model Driven Data Integration is a data integration approach that proactively incorporates and utilizes metadata across the data integration process. By decoupling data and metadata, MDDI drastically reduces complexity of data integration; whilst also providing an integrated standard development method, which is associated with Model Driven Architecture. This paper introduces a case study to adopt MDA technology as an MDDI framework for data centric software development; including data merging and data customization for data mining. A data merging model is also proposed to define relationships between different models at a conceptual level which is then transformed into a physical model. In this case study we collect and integrate historical data from various universities into the Data Warehouse system in order to develop student intervention services through data mining.