Real-Time & Stream Data Management

Push-Based Data in Research & Practice de

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Éditeur :

Springer


Collection :

SpringerBriefs in Computer Science

Paru le : 2019-01-02

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Description

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.
Pages
77 pages
Collection
SpringerBriefs in Computer Science
Parution
2019-01-02
Marque
Springer
EAN papier
9783030105549
EAN PDF
9783030105556

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
7
Taille du fichier
2335 Ko
Prix
58,01 €
EAN EPUB
9783030105556

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
7
Taille du fichier
3267 Ko
Prix
58,01 €