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hal.structure.identifierUniversidad Simon Bolivar [USB]
dc.contributor.authorCardinale, Yudith
HAL ID: 740074
ORCID: 0000-0002-5966-0113
hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorGuehis, Sonia
hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorRukoz, Marta
dc.date.accessioned2019-04-12T13:28:29Z
dc.date.available2019-04-12T13:28:29Z
dc.date.issued2017
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/18635
dc.language.isoenen
dc.subjectBig Data Analyticen
dc.subjectAnalytic Models for Big Dataen
dc.subjectAnalytical Data Management Applicationsen
dc.subject.ddc005en
dc.titleBig Data Analytic Approaches Classificationen
dc.typeCommunication / Conférence
dc.description.abstractenAnalytical data management applications, affected by the explosion of the amount of generated data in the context of Big Data, are shifting away their analytical databases towards a vast landscape of architectural solutions combining storage techniques, programming models, languages, and tools. To support users in the hard task of deciding which Big Data solution is the most appropriate according to their specific requirements, we propose a generic architecture to classify analytical approaches. We also establish a classification of the existing query languages, based on the facilities provided to access the Big Data architectures. Moreover, to evaluate different solutions, we propose a set of criteria of comparison, such as OLAP support, scalability, and fault tolerance support. We classify different existing Big Data analytics solutions according to our proposed generic architecture and qualitatively evaluate them in terms of the criteria of comparison. We illustrate howour proposed generic architecture can be used to decide which Big Data analytic approach is suitable in the context of several use cases.en
dc.identifier.citationpages151-162en
dc.relation.ispartoftitleProceedings of the 12th International Conference on Software Technologies 2017en
dc.relation.ispartofeditorCardoso, Jorge
dc.relation.ispartofeditorMaciaszek, Leszek
dc.relation.ispartofeditorvan Sinderen, Marten
dc.relation.ispartofeditorCabello, Enrique
dc.relation.ispartofpublnameSciTePressen
dc.relation.ispartofpublcitySetúbalen
dc.relation.ispartofdate2017
dc.relation.ispartofpages487en
dc.contributor.countryeditoruniversityotherVENEZUELA, BOLIVARIAN REPUBLIC OF
dc.subject.ddclabelProgrammation, logiciels, organisation des donnéesen
dc.relation.ispartofisbn978-989-758-262-2en
dc.relation.conftitle12th International Conference on Software Technologies (ICSOFT 2017)en
dc.relation.confdate2017-07
dc.relation.confcityMadriden
dc.relation.confcountrySpainen
dc.relation.forthcomingnonen
dc.identifier.doi10.5220/0006437801510162en
dc.description.ssrncandidatenonen
dc.description.halcandidateouien
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.relation.Isversionofjnlpeerreviewednonen
dc.relation.Isversionofjnlpeerreviewednonen
dc.date.updated2019-03-26T14:09:56Z
hal.identifierhal-02098311*
hal.version1*
hal.author.functionaut
hal.author.functionaut
hal.author.functionaut


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