Isbn: 9783659751127 - automated database tuning using dynamic sga parameters: a practical approach (8 resultados)

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  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2017

    365975112X / 9783659751127

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    Librería: Books Puddle, Woodside, NY, Estados Unidos de AmericaBooks Puddle

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    EUR 109,07

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    Cantidad disponible: 4 disponibles

    Condición: New. 1st edition NO-PA16APR2015-KAP.

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2017

    365975112X / 9783659751127

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    Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books

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    EUR 113,82

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    Paperback. Condición: Brand New. 184 pages. 8.66x5.91x0.42 inches. In Stock.

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing Mai 2017, 2017

    365975112X / 9783659751127

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    Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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    EUR 64,90

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    Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The knowledge of the system, the data stored, the workload and the inter-dependency between them is a major requirement for tuning a Database Management System (DBMS). Due to complexity of the DBMSs and the diversity of their workload, there is a need for automatic tuning of DBMS. Self-managing (or autonomic) databases are intended to reduce the total cost of ownership by automatically adapting to evolving workloads and environments. To reach this goal, commercial DBMSs have recently been equipped with self-management functions, which support the database administrator (DBA) in identifying the appropriate indexes or in sizing the memory areas. However, existing techniques suffer from several problems: First, they are often implemented as off-line tools that have to be explicitly triggered by a DBA. Second, they strictly focus on automating one particular administration task, without considering possible side-effects on other components. This book defines the automated manner to make the system self tune in variable workload. 184 pp. Englisch.…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2017

    365975112X / 9783659751127

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    Librería: moluna, Greven, Alemaniamoluna

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    EUR 52,90

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    Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sharma Hitesh KumarDr. Hitesh Kumar Sharma is an Assistant Professor (Senior Scale) in Dept. of CSE, University of Petroleum & Energy Studies, Dehradun, He has conducted various National Workshops and National/ International Conferen.…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2017

    365975112X / 9783659751127

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    EUR 72,42

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    Cantidad disponible: 1 disponible

    Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The knowledge of the system, the data stored, the workload and the inter-dependency between them is a major requirement for tuning a Database Management System (DBMS). Due to complexity of the DBMSs and the diversity of their workload, there is a need for automatic tuning of DBMS. Self-managing (or autonomic) databases are intended to reduce the total cost of ownership by automatically adapting to evolving workloads and environments. To reach this goal, commercial DBMSs have recently been equipped with self-management functions, which support the database administrator (DBA) in identifying the appropriate indexes or in sizing the memory areas. However, existing techniques suffer from several problems: First, they are often implemented as off-line tools that have to be explicitly triggered by a DBA. Second, they strictly focus on automating one particular administration task, without considering possible side-effects on other components. This book defines the automated manner to make the system self tune in variable workload.…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2017

    365975112X / 9783659751127

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    Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books

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    EUR 112,18

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    Cantidad disponible: 4 disponibles

    Condición: New. Print on Demand.

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2017

    365975112X / 9783659751127

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    Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios

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    EUR 111,00

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    Cantidad disponible: 4 disponibles

    Condición: New. PRINT ON DEMAND.

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing Mai 2017, 2017

    365975112X / 9783659751127

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    Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

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    EUR 64,90

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    Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The knowledge of the system, the data stored, the workload and the inter-dependency between them is a major requirement for tuning a Database Management System (DBMS). Due to complexity of the DBMSs and the diversity of their workload, there is a need for automatic tuning of DBMS. Self-managing (or autonomic) databases are intended to reduce the total cost of ownership by automatically adapting to evolving workloads and environments. To reach this goal, commercial DBMSs have recently been equipped with self-management functions, which support the database administrator (DBA) in identifying the appropriate indexes or in sizing the memory areas. However, existing techniques suffer from several problems: First, they are often implemented as off-line tools that have to be explicitly triggered by a DBA. Second, they strictly focus on automating one particular administration task, without considering possible side-effects on other components. This book defines the automated manner to make the system self tune in variable workload.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 184 pp. Englisch.…