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Towards a multi-model approach to support user-driven extensibility in data warehouses: agro-ecology case study

hal.structure.identifierTechnologies et systèmes d'information pour les agrosystèmes [UR TSCF]
dc.contributor.authorCOULIBALY, Fagnine Alassane
hal.structure.identifierTechnologies et systèmes d'information pour les agrosystèmes [UR TSCF]
dc.contributor.authorBIMONTE, Sandro
hal.structure.identifierDipartimento di Scienze dell'Informazione [Bologna] [DISI]
hal.structure.identifierAlma Mater Studiorum Università di Bologna = University of Bologna [UNIBO]
dc.contributor.authorRIZZI, Stefano
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorMALEMBIC-MAHER, Sylvie
hal.structure.identifierSanté et agroécologie du vignoble [UMR SAVE]
dc.contributor.authorFABRE, Frédéric
dc.contributor.editorEDBT/ICDT 2023 Workshops Chairs and Workshops Proceedings Chairs
dc.date.issued2023
dc.date.conference2023-03-28
dc.description.abstractEnInformation systems have evolved into complex data platforms supporting end-to-end data-intensive needs, aimed at coping with the different V's that characterize Big Data. In particular, multi-model databases (MMDBs) have been proposed to natively support storing and querying data in different (schemaless) models, so as to better handle Variety. In this work we envision a new data warehouse architecture in which an MMDB is used to enable on-the-fly user-driven extensions of multidimensional cubes with additional data, while ensuring support to variable and complex data and keeping the impact on ETL low. After proposing the architecture with the aid of a case study on the management of emerging plant disease, we discuss the main associated open issues.
dc.description.sponsorshipBuilding epidemiological surveillance and prophylaxis with observations both near and distant - ANR-20-PCPA-0002
dc.language.isoen
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.source.titleCEUR Workshop Proceedings
dc.subjectEntrepôt de Données
dc.subjectBase de données multi-modèle
dc.subjectOLAP
dc.subjectDonnées massives
dc.subject.enData Warehouses
dc.subject.enMulti-model databases
dc.subject.enOLAP
dc.subject.enBig Data
dc.title.enTowards a multi-model approach to support user-driven extensibility in data warehouses: agro-ecology case study
dc.typeCommunication dans un congrès
dc.subject.halInformatique [cs]
bordeaux.volume3379
bordeaux.conference.title2nd International Workshop on Data Platform Design, Management, and Optimization (DataPlat 2023)
bordeaux.countryGR
bordeaux.title.proceedingCEUR Workshop Proceedings
bordeaux.conference.cityIoannina
bordeaux.peerReviewedoui
hal.identifierhal-04175641
hal.version1
hal.invitednon
hal.proceedingsnon
hal.conference.end2023-03-28
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-04175641v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=CEUR%20Workshop%20Proceedings&rft.date=2023&rft.volume=3379&rft.au=COULIBALY,%20Fagnine%20Alassane&BIMONTE,%20Sandro&RIZZI,%20Stefano&MALEMBIC-MAHER,%20Sylvie&FABRE,%20Fr%C3%A9d%C3%A9ric&rft.genre=unknown


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