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Incremental consolidation of data-intensive multi-flows

Author
Jovanovic, P.; Romero, O.; Simitsis, A.; Abello, A.
Type of activity
Journal article
Journal
IEEE transactions on knowledge and data engineering
Date of publication
2016-01-07
Volume
28
Number
5
First page
1203
Last page
1216
DOI
https://doi.org/10.1109/TKDE.2016.2515609 Open in new window
Repository
http://hdl.handle.net/2117/87003 Open in new window
URL
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7374708 Open in new window
Abstract
Business intelligence (BI) systems depend on efficient integration of disparate and often heterogeneous data. The integration of data is governed by data-intensive flows and is driven by a set of information requirements. Designing such flows is in general a complex process, which due to the complexity of business environments is hard to be done manually. In this paper, we deal with the challenge of efficient design and maintenance of data-intensive flows and propose an incremental approach, nam...
Citation
Jovanovic, P., Romero, O., Simitsis, A., Abello, A. Incremental consolidation of data-intensive multi-flows. "IEEE transactions on knowledge and data engineering", 2016, vol. 28, núm. 5,pp 1203-2016
Keywords
Business Intelligence, data warehousing, data-intensive flows, workflow management
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

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