The Science of Programming
Conceptual modeling for ETL processes
Proceedings of the 5th ACM international workshop on Data Warehousing and OLAP
Optimizing ETL Processes in Data Warehouses
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Mapping conceptual to logical models for ETL processes
Proceedings of the 8th ACM international workshop on Data warehousing and OLAP
Towards a Domain-Specific Modeling Language for Customer Data Integration Workflow
GPC-WORKSHOPS '08 Proceedings of the 2008 The 3rd International Conference on Grid and Pervasive Computing - Workshops
Object-oriented analysis and design with applications, third edition
Object-oriented analysis and design with applications, third edition
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To process the flood of digital age data, ETL tools operating on grids have provided organizations with the ability to efficiently filter, clean, and persist very large data sets by means of complex workflows. Currently, however, constructing such workflows is largely manual, human time intensive, and error prone. Existing models omit the domain related knowledge necessary to validate the structure of such large, complex ETL workflows during construction. This paper introduces the concepts of preconditions, postconditions, and field abstraction on ETL operators to provide a richer model for ETL workflow that can leverage relevant domain knowledge to represent and enforce operator constraints.