Stream Data Management
indgår i Advances in Database Systems serien
- Indbinding:
- Hardback
- Sideantal:
- 188
- Udgivet:
- 14. april 2005
- Størrelse:
- 160x15x241 mm.
- Vægt:
- 453 g.
- 8-11 hverdage.
- 23. november 2024
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- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af 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.
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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Bogen Stream Data Management findes i følgende kategorier:
- Business og læring > Computer og IT
- Business og læring > Videnskab
- Historie og samfund
- Litteratur og litteraturstudier
- Lægevidenskab og sygepleje
- Historie og arkæologi
- Databehandling og informationsteknologi > Grafisk IT og digitale medier
- Databehandling og informationsteknologi > Computere og hardware > Netværkskomponenter
- Databehandling og informationsteknologi > Databaser > Data warehouse
- Databehandling og informationsteknologi > Databaser > Informationssøgning og informationsgenfinding
- Databehandling og informationsteknologi > Anvendt databehandling
- Databehandling og informationsteknologi > Informatik > Matematisk datateori
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