A Quality-based ETL Design Evaluation Framework

Zineb El Akkaoui, Alejandro Vaisman, Esteban Zimányi

2019

Abstract

The Extraction, Transformation and Loading (ETL) process is a crucial component of a data warehousing architecture. ETL processes are usually complex and time-consuming. Particularly important (although overlooked) in ETL development is the design phase, since it impacts on the subsequent ones, i.e., implementation and execution. Addressing ETL quality at the design phase allows taking actions that can have a positive and low-cost impact on process efficiency. Using the well-known Briand et al. framework (a theoretical validation framework for system artifacts), we formally specify a set of internal metrics that we conjecture to be correlated with process efficiency. We also provide empirical validation of this correlation, as well as an analysis of the metrics that have stronger impact on efficiency. Although there exist proposals in the literature addressing design quality in ETL, as far as we are aware of, this is the first proposal aimed at using metrics over ETL models to predict the performance associated to these models.

Paper Citation

in Bibtex Style

@conference{iceis19,
author={Zineb El Akkaoui and Alejandro Vaisman and Esteban Zimányi},
title={A Quality-based ETL Design Evaluation Framework},
booktitle={Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2019},
pages={249-257},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007786502490257},
isbn={978-989-758-372-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - A Quality-based ETL Design Evaluation Framework
SN - 978-989-758-372-8
AU - El Akkaoui Z.
AU - Vaisman A.
AU - Zimányi E.
PY - 2019
SP - 249
EP - 257
DO - 10.5220/0007786502490257

in Harvard Style

El Akkaoui Z., Vaisman A. and Zimányi E. (2019). A Quality-based ETL Design Evaluation Framework.In Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-372-8, pages 249-257. DOI: 10.5220/0007786502490257