國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Real-time & stream data managementpu...

Gessert, Felix.

Real-time & stream data managementpush-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 managementby 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$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 /
LDR:02167nmm a2200337 a 4500 001 555181
003 DE-He213
005 20190107151109.0
006 m d
007 cr nn 008maaau
008 191121s2019 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 837227
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 182428
650 0 $a Push technology (Computer networks) $3 837230
650 0 $a Big data. $3 609582
650 1 4 $a Information Storage and Retrieval. $3 274190
650 2 4 $a Database Management. $3 273994
650 2 4 $a Data Structures. $3 273992
700 1 $a Ritter, Norbert. $3 837228
700 1 $a Gessert, Felix. $3 837229
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in computer science. $3 559641
856 4 0 $u https://doi.org/10.1007/978-3-030-10555-6
950 $a Computer Science (Springer-11645)