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Bachelor thesis . 2013
Full-Text: https://upcommons.upc.edu/bitstream/2099.1/18588/1/85951.pdf
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Tècniques per a la traducció d'esquemes relacionals a no relacionals

descriptionPublicationkeyboard_double_arrow_right Bachelor thesis , Master thesis 19 Jun 2013 Spain Catalan; Valencian Publisher:Universitat Politècnica de Catalunya
Authors: Nadal Francesch, Sergi;

handle: 2099.1/18588

Tècniques per a la traducció d'esquemes relacionals a no relacionals

Abstract

En aquest projecte es vol buscar si existeixen tècniques o regles a l'hora de convertir un esquema relacional a no relacional. Per tal de fer-ho s'han realitzat proves de rendiment sobre un sistema relacional i les diferents variants de l'esquema en un sistema no relacional.

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Spain
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Keywords

SQL (Computer program language), Big Data, Database, Modelatge, Base de dades, Hadoop, HBase, Bases de dades -- Disseny, Àrees temàtiques de la UPC::Informàtica::Sistemes d'informació::Bases de dades, Modeling, NOSQL, Database design, SQL (Llenguatge de programació)

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    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green