Fr. 76.00

Real-Time & Stream Data Management - Push-Based Data in Research & Practice

English · Paperback / Softback

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Description

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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.

Summary

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.

Product details

Authors Felix Gessert, Norber Ritter, Norbert Ritter, Wolfra Wingerath, Wolfram Wingerath
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 01.01.2019
 
EAN 9783030105549
ISBN 978-3-0-3010554-9
No. of pages 77
Dimensions 155 mm x 5 mm x 235 mm
Weight 152 g
Illustrations IX, 77 p. 15 illus., 6 illus. in color.
Series SpringerBriefs in Computer Science
SpringerBriefs in Computer Science
Subject Natural sciences, medicine, IT, technology > IT, data processing > IT

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