Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/90737

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dc.contributor.authorOliveira, Brunopor
dc.contributor.authorOliveira, Oscarpor
dc.contributor.authorBelo, Orlandopor
dc.date.accessioned2024-04-05T19:08:15Z-
dc.date.issued2021-
dc.identifier.citationOliveira, B., Oliveira, Ó., & Belo, O. (2021, October 1). ETL Logs Under a Pattern-Oriented Approach. International Journal of Data Warehousing and Mining. IGI Global. http://doi.org/10.4018/ijdwm.2021100102por
dc.identifier.issn1548-3924-
dc.identifier.urihttps://hdl.handle.net/1822/90737-
dc.description.abstractConsidering extract-transform-load (ETL) as a complex and evolutionary process, development teams must conscientiously and rigorously create log strategies for retrieving the most value of the information that can be gathered from the events that occur through the ETL workflow. Efficient logging strategies must be structured so that metrics, logs, and alerts can, beyond their troubleshooting capabilities, provide insights about the system. This paper presents a configurable and flexible ETL component for creating logging mechanisms in ETL workflows. A pattern-oriented approach is followed as a way to abstract ETL activities and enable its mapping to physical primitives that can be interpreted by ETL commercial tools.por
dc.description.sponsorship- (undefined)por
dc.language.isoengpor
dc.publisherIGI Globalpor
dc.rightsrestrictedAccesspor
dc.subjectData Warehousingpor
dc.subjectETLpor
dc.subjectETL Patternspor
dc.subjectLog Patternpor
dc.subjectLogspor
dc.titleETL logs under a pattern-oriented approachpor
dc.typearticlepor
dc.peerreviewedyespor
dc.relation.publisherversionhttps://www.igi-global.com/gateway/article/290269por
oaire.citationStartPage29por
oaire.citationEndPage47por
oaire.citationIssue4por
oaire.citationVolume17por
dc.date.updated2024-04-05T18:16:42Z-
dc.identifier.doi10.4018/IJDWM.2021100102por
dc.date.embargo10000-01-01-
dc.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informáticapor
dc.subject.wosScience & Technology-
sdum.export.identifier16087-
sdum.journalInternational Journal of Data Warehousing and Miningpor
Aparece nas coleções:CAlg - Artigos em revistas internacionais / Papers in international journals

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