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[ subject:"Push technology (Computer networks)" ]
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Real-time & stream data management =...
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Wingerath, Wolfram.
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Real-time & stream data management = push-based data in research & practice /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Real-time & stream data management/ by Wolfram Wingerath, Norbert Ritter, Felix Gessert.
其他題名:
push-based data in research & practice /
作者:
Wingerath, Wolfram.
其他作者:
Ritter, Norbert.
出版者:
Cham :Springer International Publishing : : 2019.,
面頁冊數:
ix, 77 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer eBooks
標題:
Database management. -
電子資源:
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. - 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
Standard No.: 10.1007/978-3-030-10555-6doiSubjects--Topical Terms:
527442
Database management.
LC Class. No.: QA76.9.D3
Dewey Class. No.: 005.74
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 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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