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dc.contributor.authorMartino, B. L.
dc.contributor.authorFederici, M.
dc.date.accessioned2023-01-18T14:27:24Z
dc.date.available2023-01-18T14:27:24Z
dc.date.issued2015
dc.identifier.citationActa Polytechnica. 2015, vol. 2, no. 1, p. 293-296.
dc.identifier.issn1210-2709 (print)
dc.identifier.issn1805-2363 (online)
dc.identifier.urihttp://hdl.handle.net/10467/105803
dc.description.abstractThe objective of this paper is the comparison between two different database typologies: the relational and the nonrelational architecture, in the context of the applications related to the use and distribution of astronomical data. The specific context is focused to problems quite different from those related to administrative and managerial environments within which were developed the leading technologies on which are based the modern systems of massive storage of data. The data provided by astronomical instrumentation are usually filtered out by the front-end system (trigger, anticoincidence, DSP etc.), so they do not require special controls of congruence. Moreover, the related storage systems must be able to ensure an easy growth, minimizing human systemistic interventions and automating the related actions. The use of a non-relational architecture (NoSQL), offers great advantages during the insertion of informations within a data base, while the response speed of the queries is mainly tied to their type and complexity.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherČeské vysoké učení technické v Prazecs
dc.publisherCzech Technical University in Pragueen
dc.relation.ispartofseriesActa Polytechnica
dc.relation.urihttps://ojs.cvut.cz/ojs/index.php/APP/article/view/2930
dc.rightsCreative Commons Attribution 4.0 International Licenseen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleNon Relational Models for the Management of Large Amount of Astronomical Data
dc.typearticleen
dc.date.updated2023-01-18T14:27:24Z
dc.identifier.doi10.14311/APP.2015.02.0293
dc.rights.accessopenAccess
dc.type.statusPeer-reviewed
dc.type.versionpublishedVersion


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Creative Commons Attribution 4.0 International License
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