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Real-time & stream data managementpu...

Gessert, Felix.

Real-time & stream data managementpush-based data in research & practice /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Real-time & stream data managementby Wolfram Wingerath, Norbert Ritter, Felix Gessert.
Reminder of title:	push-based data in research & practice /
Author:	Wingerath, Wolfram.
other author:	Ritter, Norbert.
Published:	Cham :Springer International Publishing :2019.
Description:	ix, 77 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Database management.
Online resource:	https://doi.org/10.1007/978-3-030-10555-6
ISBN:	9783030105556$q(electronic bk.)

Real-time & stream data managementpush-based data in research & practice /
Wingerath, Wolfram.

Real-time & stream data managementpush-based data in research & practice /[electronic resource] :by Wolfram Wingerath, Norbert Ritter, Felix Gessert. - Cham :Springer International Publishing :2019. - ix, 77 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in computer science,2191-5768. - SpringerBriefs in computer science..

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 will first provide an overview over the different (push-based) mechanisms for data retrieval in each system class and the semantic differences between them. It will also provide a comprehensive overview over the current state of the art in real-time databases. It will first include 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.

ISBN: 9783030105556$q(electronic bk.)

Standard No.: 10.1007/978-3-030-10555-6doiSubjects--Topical Terms:

182428
Database management.

LC Class. No.: QA76.9.D3

Dewey Class. No.: 005.74

Real-time & stream data managementpush-based data in research & practice /
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245 1 0 $a Real-time & stream data management $h [electronic resource] : $b push-based data in research & practice / $c by Wolfram Wingerath, Norbert Ritter, Felix Gessert.
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300 $a ix, 77 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a SpringerBriefs in computer science, $x 2191-5768
520 $a 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 will first provide an overview over the different (push-based) mechanisms for data retrieval in each system class and the semantic differences between them. It will also provide a comprehensive overview over the current state of the art in real-time databases. It will first include 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.
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650 2 4 $a Data Structures. $3 273992
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700 1 $a Gessert, Felix. $3 837229
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