Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/42343

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dc.contributor.authorSantos, Maribel Yasminapor
dc.contributor.authorCosta, Carlospor
dc.date.accessioned2016-08-04T08:42:55Z-
dc.date.issued2016-06-
dc.identifier.citationSantos, Maribel Yasmina and Carlos Costa, “Data Models in NoSQL Databases for Big Data Contexts”, Proceedings of the 2016 International Conference of Data Mining and Big Data, Springer-Verlag, LNCS 9714, pp 475-485, June 25-30, Bali, Indonesia, 2016 (DOI:10.1007/978-3-319-40973-3_48).por
dc.identifier.isbn978-3-319-40973-3-
dc.identifier.issn0302-9743por
dc.identifier.urihttps://hdl.handle.net/1822/42343-
dc.description.abstractData models are a central piece in information systems, being the relational data models very popular and extensively used. In Big Data, and due to the characteristics of the NoSQL databases, the data modeling task is seen in another perspective, as those databases are considered schema-free. Nevertheless, these databases also need data models that ensure the proper storage and querying of the data. Considering the vast amount of relational databases and the ever-increasing volume of data, the importance of data models in Big Data increases. In this work, a specific set of rules is proposed for the automatic transition between a traditional and a Big Data environment, considering two specific objectives: the identification of a columnar data model for HBase supporting operational needs and the identification of a tabular data model for Hive supporting analytical needs. The obtained results show the applicability of the proposed rules and their relevance for data modeling in Big Data environments.por
dc.description.sponsorshipThis work has been supported by COMPETE: POCI-01-0145- FEDER-007043 and FCT, Fundação para a Ciência e Tecnologia, within the Projects UID/CEC/00319/2013 (ALGORITMI) and MITP-TB/CS/0026/2013 (SusCity).por
dc.language.isoengpor
dc.publisherSpringer Verlagpor
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147280/PTpor
dc.relationinfo:eu-repo/grantAgreement/FCT/5665-PICT/137220/PTpor
dc.rightsrestrictedAccesspor
dc.subjectBig Datapor
dc.subjectData Modelpor
dc.subjectData Warehousingpor
dc.subjectNoSQL Databasespor
dc.titleData models in NoSQL databases for big data contextspor
dc.typeconferencePaperpor
dc.peerreviewedyespor
sdum.publicationstatusinfo:eu-repo/semantics/publishedVersionpor
oaire.citationStartPage475por
oaire.citationEndPage485por
oaire.citationConferencePlaceIndonesiapor
oaire.citationTitleProceedings of the 2016 International Conference of Data Mining and Big Datapor
oaire.citationVolume9714por
dc.identifier.doi10.1007/978-3-319-40973-3_48por
dc.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informáticapor
dc.subject.wosScience & Technologypor
sdum.journalLecture Notes in Computer Sciencepor
sdum.conferencePublicationProceedings of the 2016 International Conference of Data Mining and Big Data-
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