Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/54399

TitleModeling and supporting ETL processes via a pattern-oriented, task-reusable framework
Author(s)Belo, Orlando
Cuzzocrea, Alfredo
Oliveira, Bruno
KeywordsData Warehouse
ETL
Verification
Quality
Validation
Patterns
Meta-model
YAWL
Issue date2014
PublisherIEEE
JournalProceedings-International Conference on Tools With Artificial Intelligence
Abstract(s)ETL processes are difficult components of modern Data Warehousing architectures, which are gaining momentum thanks the renewed interest stirred-up by the emerging Big Data paradigm. Due to the complexity of modeling ETL processes, various alternatives appeared in the literature. But several limitations arise, such as the poor attention to the flexibility of models. Following the drawbacks of actual proposals, in this paper we argue that a novel approach based on a pattern-oriented and task-reusable framework may convey in lot of advantages for the ETL process (conceptual) modeling itself. Our proposal is thus represented by a pattern-oriented meta-model for supporting the conceptual modeling of ETL processes in next-generation Data Warehousing environments. The most distinctive characteristic of our framework consists in the reusability of task-oriented components, with clear advantages for the flexibility and the extendibility of the final ETL process model so-determined. To validate our proposal, we exploit the YAWL workflow modeling language, and develop a suitable pattern for validating target ETL processes.
TypeConference paper
URIhttp://hdl.handle.net/1822/54399
ISBN9781479965724
DOI10.1109/ICTAI.2014.145
ISSN1082-3409
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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