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Frequent patterns in ETL workflows: An empirical approach

Author
Theodorou, V.; Abello, A.; Thiele, M.; Lehner, W.
Type of activity
Journal article
Journal
Data and knowledge engineering
Date of publication
2017-11
Volume
112
First page
1
Last page
16
DOI
https://doi.org/10.1016/j.datak.2017.08.004 Open in new window
Repository
http://hdl.handle.net/2117/110172 Open in new window
URL
http://www.sciencedirect.com/science/article/pii/S0169023X16302713 Open in new window
Abstract
The complexity of Business Intelligence activities has driven the proposal of several approaches for the effective modeling of Extract-Transform-Load (ETL) processes, based on the conceptual abstraction of their operations. Apart from fostering automation and maintainability, such modeling also provides the building blocks to identify and represent frequently recurring patterns. Despite some existing work on classifying ETL components and functionality archetypes, the issue of systematically min...
Citation
Theodorou, V., Abelló, A., Thiele, M., Lehner, W. Frequent patterns in ETL workflows: An empirical approach. "Data and knowledge engineering", Novembre 2017, vol. 112, p. 1-16.
Keywords
ETL, Empirical, Graph matching, Patterns
Group of research
DTIM - Database Technologies and lnformation Management Group
IMP - Information Modelling and Processing
inLab FIB
inSSIDE - integrated Software, Service, Information and Data Engineering

Participants

  • Theodorou, Vasileios  (author)
  • Abello Gamazo, Alberto  (author)
  • Thiele, Maik  (author)
  • Lehner, Wolfgang  (author)