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Andromeda: A System for Processing Queries and Updates on Big XML Documents

hal.structure.identifier
dc.contributor.authorBidoit, Nicole
HAL ID: 17192
hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorColazzo, Dario
hal.structure.identifier
dc.contributor.authorSartiani, Carlo
hal.structure.identifier
dc.contributor.authorSolimando, Alessandro
hal.structure.identifier
dc.contributor.authorUlliana, Federico
dc.date.accessioned2020-06-08T08:43:19Z
dc.date.available2020-06-08T08:43:19Z
dc.date.issued2015
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/20837
dc.language.isoenen
dc.subjectprocessing queriesen
dc.subject.ddc005.7en
dc.titleAndromeda: A System for Processing Queries and Updates on Big XML Documentsen
dc.typeCommunication / Conférence
dc.description.abstractenIn this paper we present Andromeda, a system for processing queries and updates on large XML documents. The system is based on the idea of statically and dynamically partitioning the input document, so to distribute the computing load among the machines of a Map/Reduce cluster.en
dc.identifier.urlsitehttps://hal.archives-ouvertes.fr/hal-01169275en
dc.subject.ddclabelOrganisation des donnéesen
dc.relation.conftitle2nd International Workshop on Big Data Applications and Principles (BigDap 2015)en
dc.relation.confdate2015-09
dc.relation.confcityPoitiersen
dc.relation.confcountryFranceen
dc.relation.forthcomingnonen
dc.identifier.doi10.1007/978-3-319-23201-0_24en
dc.description.ssrncandidatenonen
dc.description.halcandidatenonen
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.relation.Isversionofjnlpeerreviewednonen
dc.relation.Isversionofjnlpeerreviewednonen
dc.date.updated2020-06-08T08:41:16Z
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