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Real-Time & Stream Data Management =...
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SpringerLink (Online service)
Real-Time & Stream Data Management = Push-Based Data in Research & Practice /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Real-Time & Stream Data Management/ by Wolfram Wingerath, Norbert Ritter, Felix Gessert.
Reminder of title:
Push-Based Data in Research & Practice /
Author:
Wingerath, Wolfram.
other author:
Ritter, Norbert.
Description:
IX, 77 p. 15 illus., 6 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Information storage and retrieval. -
Online resource:
https://doi.org/10.1007/978-3-030-10555-6
ISBN:
9783030105556
Real-Time & Stream Data Management = Push-Based Data in Research & Practice /
Wingerath, Wolfram.
Real-Time & Stream Data Management
Push-Based Data in Research & Practice /[electronic resource] :by Wolfram Wingerath, Norbert Ritter, Felix Gessert. - 1st ed. 2019. - IX, 77 p. 15 illus., 6 illus. in color.online resource. - 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 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.
ISBN: 9783030105556
Standard No.: 10.1007/978-3-030-10555-6doiSubjects--Topical Terms:
1069252
Information storage and retrieval.
LC Class. No.: QA75.5-76.95
Dewey Class. No.: 025.04
Real-Time & Stream Data Management = Push-Based Data in Research & Practice /
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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.
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