An overview of data warehousing and OLAP technology
ACM SIGMOD Record
Understanding “why” in software process modelling, analysis, and design
ICSE '94 Proceedings of the 16th international conference on Software engineering
Proceedings of the 2nd ACM international workshop on Data warehousing and OLAP
Designing data marts for data warehouses
ACM Transactions on Software Engineering and Methodology (TOSEM)
Constructing OLAP cubes based on queries
Proceedings of the 4th ACM international workshop on Data warehousing and OLAP
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
On relationships offering new drill-across possibilities
Proceedings of the 5th ACM international workshop on Data Warehousing and OLAP
Database Architecture for Data Warehousing: An Evolutionary Approach
DEXA '98 Proceedings of the 9th International Conference on Database and Expert Systems Applications
On the Integration of Autonomous Data Marts
SSDBM '04 Proceedings of the 16th International Conference on Scientific and Statistical Database Management
An analysis of additivity in OLAP systems
Proceedings of the 7th ACM international workshop on Data warehousing and OLAP
A comparison of data warehousing methodologies
Communications of the ACM - The disappearing computer
Building the Data Warehouse
Goal-oriented requirement analysis for data warehouse design
Proceedings of the 8th ACM international workshop on Data warehousing and OLAP
Modeling strategies and alternatives for data warehousing projects
Communications of the ACM - Supporting exploratory search
YAM2: a multidimensional conceptual model extending UML
Information Systems
Hierarchies in a multidimensional model: from conceptual modeling to logical representation
Data & Knowledge Engineering - Special issue: WIDM 2004
A UML profile for multidimensional modeling in data warehouses
Data & Knowledge Engineering - Special issue: ER 2003
An MDA approach for the development of data warehouses
Decision Support Systems
Dimensional modeling: Identification, classification, and evaluation of patterns
Decision Support Systems
Applying transformations to model driven data warehouses
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
Model driven engineering: an emerging technical space
GTTSE'05 Proceedings of the 2005 international conference on Generative and Transformational Techniques in Software Engineering
Bridging the semantic gap in OLAP models: platform-independent queries
Proceedings of the ACM 11th international workshop on Data warehousing and OLAP
Conceptual Modeling: Foundations and Applications
Designing Data Warehouses for Geographic OLAP Querying by Using MDA
ICCSA '09 Proceedings of the International Conference on Computational Science and Its Applications: Part I
Journal of Database Management
Mapping extended rationale diagrams to OLAP queries
ACM SIGSOFT Software Engineering Notes
Hi-index | 0.00 |
A corporate data warehouseis a repository that provides decision makers with a large amount of historical data concerning the overall enterprise strategy. In order to customize the data warehouse, many organizations develop concrete data martsfocused on a particular department or business process. However, their integrated development is still an open problem for many organizations due to the technical and organizational challenges involved during the design of these repositories as a complete solution. Therefore, we present here a design approach in order to build both the corporate data warehouse and data marts from user's requirements in an integrated way. Our approach consists on linking information requirements to specific data marts elicited by using the goal-oriented requirement engineering, which are automatically translated into the implementation of the corresponding data repositories by means of model-driven engineeringtechniques. Its great advantage is that user's requirements are captured since the very-early development stages of a data-warehousing project in order to automatically translate them into the entire data-warehousing platform.