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Sinopsis
Streaming applications pose new and interesting challenges for data management systems, requiring a major rethink of almost all aspects of traditional database management systems to support streaming applications. This book introduces a coherent body of work spanning various aspects of streaming data. Eight invited chapters by distinguished researchers active in stream data management provide exposition of algorithms and languages, as well as systems proposed and implemented from managing streaming data.
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De la contraportada
Researchers in data management have recently recognized the importance of a new class of data-intensive applications that requires managing data streams, i.e., data composed of continuous, real-time sequence of items. Streaming applications pose new and interesting challenges for data management systems. Such application domains require queries to be evaluated continuously as opposed to the one time evaluation of a query for traditional applications. Streaming data sets grow continuously and queries must be evaluated on such unbounded data sets. These, as well as other challenges, require a major rethink of almost all aspects of traditional database management systems to support streaming applications.
Stream Data Management comprises eight invited chapters by researchers active in stream data management. The collected chapters provide exposition of algorithms, languages, as well as systems proposed and implemented for managing streaming data.
Stream Data Management is designed to appeal to researchers or practitioners already involved in stream data management, as well as to those starting out in this area. This book is also suitable for graduate students in computer science interested in learning about stream data management.
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- EditorialSpringer
- Año de publicación2010
- ISBN 10 1441937382
- ISBN 13 9781441937384
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas188
- EditorChaudhry Nauman, Shaw Kevin, Abdelguerfi Mahdi
- Contacto del fabricanteno disponible
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Stream Data Management
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces a coherent body of work spanning various aspects of streaming dataComprises eight invited chapters by well-distinguished researchers active in stream data managementThe collected chapters provide exposition of algorithms and lang. Nº de ref. del artículo: 458485021
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Stream Data Management
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SPRINGER NATURE Dez 2010, 2010
ISBN 10: 1441937382
ISBN 13: 9781441937384
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Researchers in data management have recently recognized the importance of a new class of data-intensive applications that requires managing data streams, i.e., data composed of continuous, real-time sequence of items. Streaming applications pose new and interesting challenges for data management systems. Such application domains require queries to be evaluated continuously as opposed to the one time evaluation of a query for traditional applications. Streaming data sets grow continuously and queries must be evaluated on such unbounded data sets. These, as well as other challenges, require a major rethink of almost all aspects of traditional database management systems to support streaming applications. Stream Data Management comprises eight invited chapters by researchers active in stream data management. The collected chapters provide exposition of algorithms, languages, as well as systems proposed and implemented for managing streaming data. Stream Data Management is designed to appeal to researchers or practitioners already involved in stream data management, as well as to those starting out in this area. This book is also suitable for graduate students in computer science interested in learning about stream data management. 170 pp. Englisch. Nº de ref. del artículo: 9781441937384
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Stream Data Management
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Researchers in data management have recently recognized the importance of a new class of data-intensive applications that requires managing data streams, i.e., data composed of continuous, real-time sequence of items. Streaming applications pose new and interesting challenges for data management systems. Such application domains require queries to be evaluated continuously as opposed to the one time evaluation of a query for traditional applications. Streaming data sets grow continuously and queries must be evaluated on such unbounded data sets. These, as well as other challenges, require a major rethink of almost all aspects of traditional database management systems to support streaming applications. Stream Data Management comprises eight invited chapters by researchers active in stream data management. The collected chapters provide exposition of algorithms, languages, as well as systems proposed and implemented for managing streaming data. Stream Data Management is designed to appeal to researchers or practitioners already involved in stream data management, as well as to those starting out in this area. This book is also suitable for graduate students in computer science interested in learning about stream data management. Nº de ref. del artículo: 9781441937384
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Stream Data Management (Advances in Database Systems, 30)
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Stream Data Management
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ISBN 10: 1441937382
ISBN 13: 9781441937384
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