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Sinopsis
Modern database systems use a query optimizer to identify query plan to execute declarative SQL queries. Optimization is a mandatory exercise since the difference between the cost of the best plan and a random choice could be in orders of magnitude. The role of query optimizers is especially critical for the decision-support queries featured in data warehousing and data mining applications. For a query on a given database and system configuration, the optimizer’s plan choice is primarily a function of the selectivities of the base relations participating in the query. In this chapter, it has been projected towards the cost of sub-query operations on the various sites, as well as the benefits achieved in the range of thirty to forty percent for various sub-operations like selection, projection and join.
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Reseña del editor
Modern database systems use a query optimizer to identify query plan to execute declarative SQL queries. Optimization is a mandatory exercise since the difference between the cost of the best plan and a random choice could be in orders of magnitude. The role of query optimizers is especially critical for the decision-support queries featured in data warehousing and data mining applications. For a query on a given database and system configuration, the optimizer’s plan choice is primarily a function of the selectivities of the base relations participating in the query. In this chapter, it has been projected towards the cost of sub-query operations on the various sites, as well as the benefits achieved in the range of thirty to forty percent for various sub-operations like selection, projection and join.
Biografía del autor
Sambit Kumar Mishra is presently working as a Professor (Computer Sc.&Engg.) & Head (R&D) in Gandhi Institute for Education & Technology, Bhubaneswar, Odisha. He is member of Editorial Board of several Journals like, IJDATS ( Inderscience Publishing House), IJAERS, JCSA, AJIS, JECET and member of Professional bodies ,ISTE,CSTA,IAENG,IACSIT,CSI
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- EditorialLAP LAMBERT Academic Publishing
- Año de publicación2017
- ISBN 10 3330079266
- ISBN 13 9783330079267
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas52
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Performance Evaluation and Optimization of Queries in Multi Databases
Publicado por
LAP LAMBERT Academic Publishing Apr 2017, 2017
ISBN 10: 3330079266
ISBN 13: 9783330079267
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Modern database systems use a query optimizer to identify query plan to execute declarative SQL queries. Optimization is a mandatory exercise since the difference between the cost of the best plan and a random choice could be in orders of magnitude. The role of query optimizers is especially critical for the decision-support queries featured in data warehousing and data mining applications. For a query on a given database and system configuration, the optimizer's plan choice is primarily a function of the selectivities of the base relations participating in the query. In this chapter, it has been projected towards the cost of sub-query operations on the various sites, as well as the benefits achieved in the range of thirty to forty percent for various sub-operations like selection, projection and join. 52 pp. Englisch. Nº de ref. del artículo: 9783330079267
Cantidad disponible: 2 disponibles
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Performance Evaluation and Optimization of Queries in Multi Databases
Publicado por
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330079266
ISBN 13: 9783330079267
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Modern database systems use a query optimizer to identify query plan to execute declarative SQL queries. Optimization is a mandatory exercise since the difference between the cost of the best plan and a random choice could be in orders of magnitude. The role of query optimizers is especially critical for the decision-support queries featured in data warehousing and data mining applications. For a query on a given database and system configuration, the optimizer's plan choice is primarily a function of the selectivities of the base relations participating in the query. In this chapter, it has been projected towards the cost of sub-query operations on the various sites, as well as the benefits achieved in the range of thirty to forty percent for various sub-operations like selection, projection and join. Nº de ref. del artículo: 9783330079267
Cantidad disponible: 1 disponibles
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Performance Evaluation and Optimization of Queries in Multi Databases
Publicado por
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330079266
ISBN 13: 9783330079267
Nuevo
Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mishra Sambit KumarSambit Kumar Mishra is presently working as a Professor (Computer Sc.&Engg.) & Head (R&D) in Gandhi Institute for Education & Technology, Bhubaneswar, Odisha. He is member of Editorial Board of several Journals lik. Nº de ref. del artículo: 151236826
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Performance Evaluation and Optimization of Queries in Multi Databases
Publicado por
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330079266
ISBN 13: 9783330079267
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Librería: Revaluation Books, Exeter, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock. Nº de ref. del artículo: 3330079266
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