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Methodological Guidelines for Reducing the Complexity of Data Warehouse Development for Transactional Blood Bank
Pedro L Takecian1, Marcio K Oikawa, Kelly R Braghetto
1University of São Paulo, Inst. of Math. and Statistics, São Paulo-SP, Brazil.
Developing data warehouse (DW) systems is complex due to diverse data sources. This study introduces methodological guidelines for modular DW construction, simplifying development and integration of heterogeneous transactional information systems.
Area of Science:
- Computer Science
- Information Systems
Background:
- Data warehouse (DW) development faces increasing complexity due to heterogeneous data sources.
- Current DW projects often lack pragmatic speed, hindering timely results.
Purpose of the Study:
- To reduce the complexity of DW development for integrating heterogeneous transactional information systems.
- To propose methodological guidelines for constructing modular DW systems.
Main Methods:
- Methodological guidelines based on iterative conceptual modeling and data analysis.
- Application of guidelines to the blood donation domain for modular DW construction.
Main Results:
- Successfully reduced the complexity of DW development.
- Demonstrated the effectiveness of the proposed methodology in a real-world domain.
Conclusions:
- The proposed methodological guidelines offer a viable approach to simplifying DW development.
- Modular DW construction is key to managing complexity and improving integration of diverse data sources.
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