There has been an extensive demand in the use of databases for decision support in these days. This was mainly due to the fact that information, one of the most precious assets of an organization, can assist in decision making and this way considerably improves the value of an organization. This phenomenon is a result of the increased availability of new technologies to support capable storage and retrieval of large volumes of data, namely data warehousing. One of the most important requirements of a data warehouse server is the query performance. The principal aspect from the user perspective is how quickly the server processes a given query: “the data warehouse must be fast”. The main focus of our research is finding adequate solutions to improve query response time of typical data ware house queries and improve scalability using an environment that takes advantage of characteristics specific to the data ware house context. Our propose model provides very good performance and scalability even on huge data warehouses.
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There has been an extensive demand in the use of databases for decision support in these days. This was mainly due to the fact that information, one of the most precious assets of an organization, can assist in decision making and this way considerably improves the value of an organization. This phenomenon is a result of the increased availability of new technologies to support capable storage and retrieval of large volumes of data, namely data warehousing. One of the most important requirements of a data warehouse server is the query performance. The principal aspect from the user perspective is how quickly the server processes a given query: “the data warehouse must be fast”. The main focus of our research is finding adequate solutions to improve query response time of typical data ware house queries and improve scalability using an environment that takes advantage of characteristics specific to the data ware house context. Our propose model provides very good performance and scalability even on huge data warehouses.
Dr. Vishal Goar is presently working as an Assistant Professor at Govt. Engineering College Bikaner(INDIA).As Assistant Professor he has contributed many papers in national and international conferences.He is member of many editorials board and review panel in international, national journal and conferences.He has acted as conveners in many FDP.
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -There has been an extensive demand in the use of databases for decision support in these days. This was mainly due to the fact that information, one of the most precious assets of an organization, can assist in decision making and this way considerably improves the value of an organization. This phenomenon is a result of the increased availability of new technologies to support capable storage and retrieval of large volumes of data, namely data warehousing. One of the most important requirements of a data warehouse server is the query performance. The principal aspect from the user perspective is how quickly the server processes a given query: the data warehouse must be fast . The main focus of our research is finding adequate solutions to improve query response time of typical data ware house queries and improve scalability using an environment that takes advantage of characteristics specific to the data ware house context. Our propose model provides very good performance and scalability even on huge data warehouses. 268 pp. Englisch. Nº de ref. del artículo: 9783639518757
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Goar VishalDr. Vishal Goar is presently working as an Assistant Professor at Govt. Engineering College Bikaner(INDIA).As Assistant Professor he has contributed many papers in national and international conferences.He is member of man. Nº de ref. del artículo: 4993418
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Librería: preigu, Osnabrück, Alemania
Taschenbuch. Condición: Neu. Performance Tuning Strategies for Data Ware House | Vishal Goar | Taschenbuch | 268 S. | Englisch | 2013 | Scholars' Press | EAN 9783639518757 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 105618395
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -There has been an extensive demand in the use of databases for decision support in these days. This was mainly due to the fact that information, one of the most precious assets of an organization, can assist in decision making and this way considerably improves the value of an organization. This phenomenon is a result of the increased availability of new technologies to support capable storage and retrieval of large volumes of data, namely data warehousing. One of the most important requirements of a data warehouse server is the query performance. The principal aspect from the user perspective is how quickly the server processes a given query: ¿the data warehouse must be fast¿. The main focus of our research is finding adequate solutions to improve query response time of typical data ware house queries and improve scalability using an environment that takes advantage of characteristics specific to the data ware house context. Our propose model provides very good performance and scalability even on huge data warehouses.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 268 pp. Englisch. Nº de ref. del artículo: 9783639518757
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - There has been an extensive demand in the use of databases for decision support in these days. This was mainly due to the fact that information, one of the most precious assets of an organization, can assist in decision making and this way considerably improves the value of an organization. This phenomenon is a result of the increased availability of new technologies to support capable storage and retrieval of large volumes of data, namely data warehousing. One of the most important requirements of a data warehouse server is the query performance. The principal aspect from the user perspective is how quickly the server processes a given query: the data warehouse must be fast . The main focus of our research is finding adequate solutions to improve query response time of typical data ware house queries and improve scalability using an environment that takes advantage of characteristics specific to the data ware house context. Our propose model provides very good performance and scalability even on huge data warehouses. Nº de ref. del artículo: 9783639518757
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Paperback. Condición: Brand New. 268 pages. 8.66x5.91x0.61 inches. In Stock. Nº de ref. del artículo: 3639518756
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