Real-Time & Stream Data Management: Push-Based Data in Research & Practice (SpringerBriefs in Computer Science)

Wingerath, Wolfram, Ritter, Norbert, Gessert, Felix

ISBN 10: 3030105547 ISBN 13: 9783030105549

Editorial: Springer, 2019

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New. N� de ref. del art�culo ERICA77330301055476

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Sinopsis:

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 push�oriented 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.

Rese�a del editor: 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 push�oriented 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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T�tulo: Real-Time & Stream Data Management: ...
Editorial: Springer
A�o de publicaci�n: 2019
Encuadernaci�n: Paperback
Condici�n: New
Tipo de libro: book

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Real-Time & Stream Data Management

Wolfram Wingerath|Norbert Ritter|Felix Gessert

Publicado por Springer International Publishing, 2019

ISBN 10: 3030105547 ISBN 13: 9783030105549

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Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 . N� de ref. del art�culo: 257454816

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

Wolfram Wingerath (u. a.)

Publicado por Palgrave Macmillan, 2019

ISBN 10: 3030105547 ISBN 13: 9783030105549

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Real-Time & Stream Data Management: Push-Based Data in Research & Practice (SpringerBriefs in Computer Science)

Wingerath, Wolfram; Ritter, Norbert; Gessert, Felix

Publicado por Springer, 2019

ISBN 10: 3030105547 ISBN 13: 9783030105549

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Real-Time & Stream Data Management

Wolfram Wingerath

Publicado por Springer International Publishing, Springer International Publishing Jan 2019, 2019

ISBN 10: 3030105547 ISBN 13: 9783030105549

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Taschenbuch. Condici�n: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 88 pp. Englisch. N� de ref. del art�culo: 9783030105549

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Real-Time & Stream Data Management

Wolfram Wingerath

Publicado por Springer International Publishing Jan 2019, 2019

ISBN 10: 3030105547 ISBN 13: 9783030105549

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Taschenbuch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 88 pp. Englisch. N� de ref. del art�culo: 9783030105549

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

Wolfram Wingerath

Publicado por Springer International Publishing, Springer International Publishing, 2019

ISBN 10: 3030105547 ISBN 13: 9783030105549

Nuevo Taschenbuch

Librería: AHA-BUCH GmbH, Einbeck, Alemania

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Taschenbuch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N� de ref. del art�culo: 9783030105549

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