東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Real-time & stream data management =...

Wingerath, Wolfram.

Linked to FindBook

Google Book

Amazon

博客來

Real-time & stream data management = push-based data in research & practice /

Record Type:	Electronic resources : 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.
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

Real-time & stream data management = push-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

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 /
LDR:02167nmm a2200337 a 4500 001 2178305
003 DE-He213
005 20190107151109.0
006 m d
007 cr nn 008maaau
008 191122s2019 gw s 0 eng d
020 $a 9783030105556 $q (electronic bk.)
020 $a 9783030105549 $q (paper)
024 7 $a 10.1007/978-3-030-10555-6 $2 doi
035 $a 978-3-030-10555-6
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D3
072 7 $a UNH $2 bicssc
072 7 $a COM030000 $2 bisacsh
072 7 $a UNH $2 thema
072 7 $a UND $2 thema
082 0 4 $a 005.74 $2 23
090 $a QA76.9.D3 $b W769 2019
100 1 $a Wingerath, Wolfram. $3 3382316
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.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
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.
650 0 $a Database management. $3 527442
650 0 $a Push technology (Computer networks) $3 3382319
650 0 $a Big data. $3 2045508
650 1 4 $a Information Storage and Retrieval. $3 761906
650 2 4 $a Database Management. $3 891010
650 2 4 $a Data Structures. $3 891009
700 1 $a Ritter, Norbert. $3 3382317
700 1 $a Gessert, Felix. $3 3382318
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in computer science. $3 1567571
856 4 0 $u https://doi.org/10.1007/978-3-030-10555-6
950 $a Computer Science (Springer-11645)