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 d…
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Produktdetails
Weitere Autoren: Shaw, Kevin (Hrsg.) / Abdelguerfi, Mahdi (Hrsg.)
- ISBN: 978-1-4419-3738-4
- EAN: 9781441937384
- Produktnummer: 31952594
- Verlag: Springer Nature EN
- Sprache: Englisch
- Erscheinungsjahr: 2010
- Seitenangabe: 170 S.
- Masse: H23.5 cm x B15.5 cm 296 g
- Auflage: Nachdr.
- Abbildungen: s/w. Tabellen
- Reihenbandnummer: 30
- Gewicht: 296
- Sonstiges: Research
1 weiteres Werk von Nauman (Hrsg.) Chaudhry:
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