NDLI: Modeling and Supporting ETL Processes via a Pattern-Oriented, Task-Reusable Framework

Content Provider	IEEE Xplore Digital Library
Author	Belo, O. Cuzzocrea, A. Oliveira, B.
Copyright Year	2014
Description	Author affiliation: ICAR, Univ. of Calabria, Rende, Italy (Cuzzocrea, A.) \|\| ALGORITMI R&D Centre, Univ. of Minho, Guimarães, Portugal (Belo, O.; Oliveira, B.)
Abstract	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.
Starting Page	960
Ending Page	966
File Size	662079
Page Count	7
File Format	PDF
ISBN	9781479965724
ISSN	10823409
DOI	10.1109/ICTAI.2014.145
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-11-10
Publisher Place	Cyprus
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Unified modeling language Business Abstracts Data models Warehousing Adaptation models Standardization YAWL Data Warehouse ETL Verification Quality Validation Patterns Meta-model
Content Type	Text
Resource Type	Article

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