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Real-Time & Stream Data Management

Wolfram Wingerath
,
Norbert Ritter
,
Felix Gessert
E-Book (pdf)
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While traditional databases excel at complex queries over historical data, they are inherently pull-based and therefore ill-equip...

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Beschreibung

While traditional databases excel at complex queries over historical data, they are inherently pull-based and therefore ill-equipped to push new information to clients. Systems for data stream management and processing, on the other hand, are natively push­oriented and thus facilitate reactive behavior. However, they do not retain data indefinitely and are therefore not able to answer historical queries. The book provides an overview over the different (push-based) mechanisms for data retrieval in each system class and the semantic differences between them. It also provides a comprehensive overview over the current state of the art in real-time databases. It sfirst includes an in-depth system survey of today's real-time databases: Firebase, Meteor, RethinkDB, Parse, Baqend, and others. Second, the high-level classification scheme illustrated above provides a gentle introduction into the system space of data management: Abstracting from the extreme system diversity in this field, it helps readers build a mental model of the available options.

Produktinformationen

Titel:
Real-Time & Stream Data Management
Untertitel:
Push-Based Data in Research & Practice
Autor:
Wolfram Wingerath
,
Norbert Ritter
,
Felix Gessert
EAN:
9783030105556
Format:
E-Book (pdf)
Hersteller:
Springer International Publishing
Genre:
IT & Internet
Veröffentlichung:
02.01.2019
Digitaler Kopierschutz:
Wasserzeichen
Dateigrösse:
2.28 MB
Anzahl Seiten:
77

Weitere Bände aus der Buchreihe "SpringerBriefs in Computer Science"

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