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Graph databases have become an indispensable tool for the analysis of linked data and interrelated data. As with any graph data representation, the need for using graph database systems emerge when they increase in size and complexity. Affiliated to those needs, graph database benchmarks emerge to assess the performance of such systems in application scenarios, representative of use cases. I proposed graph database benchmarks based on the idea of social network application. The benchmark implements and proposes a data generator that synthetically generate graphs. Also a set of high level application queries on this application that model parts of the behavior of social network users. I also studied the graph database benchmarks results that affects the performance of graph database systems. I proposed graph database benchmarks in terms of data model, query workload, large datasets and usage scenarios. I discussed the characteristics of Neo4j and DEX graph databases to be included in the benchmarks. Also I studied, the characteristics of these graph databases queries that are important in the application of graph analysis.
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Über die Autorin bzw. den Autor
El Dr. Rahul Deshmukh es profesor asociado y jefe del Departamento de Farmacología en el ISFCP, Moga, Punjab (India). Su principal área de investigación incluye los trastornos cognitivos y motores. El Dr. Deshmukh ha obtenido varias becas de investigación y ha sido galardonado como Joven Científico por el DST de la India. Ha impartido conferencias invitadas y presentado ponencias en congresos nacionales e internacionales.
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Benchmarking In Graph Databases
Verlag:
LAP LAMBERT Academic Publishing Feb 2014, 2014
ISBN 10: 3659112739
ISBN 13: 9783659112737
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Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Graph databases have become an indispensable tool for the analysis of linked data and interrelated data. As with any graph data representation, the need for using graph database systems emerge when they increase in size and complexity. Affiliated to those needs, graph database benchmarks emerge to assess the performance of such systems in application scenarios, representative of use cases. I proposed graph database benchmarks based on the idea of social network application. The benchmark implements and proposes a data generator that synthetically generate graphs. Also a set of high level application queries on this application that model parts of the behavior of social network users. I also studied the graph database benchmarks results that affects the performance of graph database systems. I proposed graph database benchmarks in terms of data model, query workload, large datasets and usage scenarios. I discussed the characteristics of Neo4j and DEX graph databases to be included in the benchmarks. Also I studied, the characteristics of these graph databases queries that are important in the application of graph analysis. 84 pp. Englisch. Bestandsnummer des Verkäufers 9783659112737
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Benchmarking in Graph Databases
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Benchmarking In Graph Databases
Verlag:
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659112739
ISBN 13: 9783659112737
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Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Graph databases have become an indispensable tool for the analysis of linked data and interrelated data. As with any graph data representation, the need for using graph database systems emerge when they increase in size and complexity. Affiliated to those needs, graph database benchmarks emerge to assess the performance of such systems in application scenarios, representative of use cases. I proposed graph database benchmarks based on the idea of social network application. The benchmark implements and proposes a data generator that synthetically generate graphs. Also a set of high level application queries on this application that model parts of the behavior of social network users. I also studied the graph database benchmarks results that affects the performance of graph database systems. I proposed graph database benchmarks in terms of data model, query workload, large datasets and usage scenarios. I discussed the characteristics of Neo4j and DEX graph databases to be included in the benchmarks. Also I studied, the characteristics of these graph databases queries that are important in the application of graph analysis. Bestandsnummer des Verkäufers 9783659112737
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Benchmarking in Graph Databases
Verlag:
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
ISBN 10: 3659112739
ISBN 13: 9783659112737
Neu
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Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
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Zustand: New. Print on Demand pp. 84 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam. Bestandsnummer des Verkäufers 132825729
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Benchmarking in Graph Databases
Verlag:
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
ISBN 10: 3659112739
ISBN 13: 9783659112737
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Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
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Zustand: New. PRINT ON DEMAND pp. 84. Bestandsnummer des Verkäufers 18127761748
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Benchmarking In Graph Databases
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LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659112739
ISBN 13: 9783659112737
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Deshmukh RahulRahul Arun.Deshmukh,Msc in Research in Computer and System Engineering, Technische University Ilmenau, Germany.Graph databases have become an indispensable tool for the analysis of linked data and interrelated data. Bestandsnummer des Verkäufers 5132208
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Benchmarking In Graph Databases
Verlag:
LAP LAMBERT Academic Publishing Feb 2014, 2014
ISBN 10: 3659112739
ISBN 13: 9783659112737
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Graph databases have become an indispensable tool for the analysis of linked data and interrelated data. As with any graph data representation, the need for using graph database systems emerge when they increase in size and complexity. Affiliated to those needs, graph database benchmarks emerge to assess the performance of such systems in application scenarios, representative of use cases. I proposed graph database benchmarks based on the idea of social network application. The benchmark implements and proposes a data generator that synthetically generate graphs. Also a set of high level application queries on this application that model parts of the behavior of social network users. I also studied the graph database benchmarks results that affects the performance of graph database systems. I proposed graph database benchmarks in terms of data model, query workload, large datasets and usage scenarios. I discussed the characteristics of Neo4j and DEX graph databases to be included in the benchmarks. Also I studied, the characteristics of these graph databases queries that are important in the application of graph analysis.OmniScriptum SRL, Str. Armeneasca 28/1, office 1, 2012 Chisinau 84 pp. Englisch. Bestandsnummer des Verkäufers 9783659112737
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