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Stream Data Management
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Stream Data Management - new book

ISBN: 9780387252292

ID: 9780387252292

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. Stream Data Management: 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., Springer-Verlag Gmbh

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Stream Data Management - Springer US
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ISBN: 9780387252292

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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. 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 qu eBook eBooks>Fremdsprachige eBooks>Englische eBooks>Sach- & Fachthemen>Informatik, Springer US

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Stream Data Management - Chaudhry, Nauman; Shaw, Kevin; Abdelguerfi, Mahdi
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Stream Data Management - signed or inscribed book

2006, ISBN: 0387252290

ID: 9780387252292

In englischer Sprache. Verlag: Springer US, 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. PC-PDF, 170 Seiten, XIV Seiten, 170 Seiten, [GR: 9632 - Nonbooks, PBS / Informatik, EDV/Informatik], [SW: - Informatik], [Ausgabe: 2005][PU:Springer US], [PU: Springer]

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Stream Data Management - Chaudhry, Nauman; Shaw, Kevin; Abdelguerfi, Mahdi
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Chaudhry, Nauman; Shaw, Kevin; Abdelguerfi, Mahdi:
Stream Data Management - signed or inscribed book

2005, ISBN: 9780387252292

ID: 9780387252292

In englischer Sprache. Verlag: Springer US, 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. PC-PDF, 170 Seiten, XIV Seiten, 170 Seiten, [GR: 9632 - Nonbooks, PBS / Informatik, EDV/Informatik], [DRM: hard-drm], [Ausgabe: 1]

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Stream Data Management - Eugene Levner;Igor Linkov;Jean-Marie Proth
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ISBN: 9780387252292

ID: 9780387252292

[KW: PDF ,INFORMATIK,SOFTWAREENTWICKLUNG ,INFORMATIK ,NATURWISSENSCHAFTEN MEDIZIN INFORMATIK TECHNIK , INFORMATIK EDV , INFORMATIK] PDF ,INFORMATIK,SOFTWAREENTWICKLUNG ,INFORMATIK ,NATURWISSENSCHAFTEN MEDIZIN INFORMATIK TECHNIK , INFORMATIK EDV , INFORMATIK

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Details of the book
Stream Data Management
Author:

Chaudhry, Nauman; Shaw, Kevin; Abdelguerfi, Mahdi

Title:

Stream Data Management

ISBN:

Details of the book - Stream Data Management


EAN (ISBN-13): 9780387252292
ISBN (ISBN-10): 0387252290
Publishing year: 2006
Publisher: Springer US
170 Pages
Language: eng/Englisch

Book in our database since 01.02.2007 18:29:38
Book found last time on 30.08.2016 21:13:08
ISBN/EAN: 0387252290

ISBN - alternate spelling:
0-387-25229-0, 978-0-387-25229-2


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