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Real-Time & Stream Data Management - Wolfram Wingerath, Norbert Ritter, Felix Gessert

Real-Time & Stream Data Management

Push-Based Data in Research & Practice
Buch | Softcover
IX, 77 Seiten
2019 | 1st ed. 2019
Springer International Publishing (Verlag)
978-3-030-10554-9 (ISBN)
CHF 82,35 inkl. MwSt
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.
Erscheinungsdatum
Reihe/Serie SpringerBriefs in Computer Science
Zusatzinfo IX, 77 p. 15 illus., 6 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 147 g
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Schlagworte Big data management • Database Management • data management system classification • data stream management • data structures • push-based data retrieval • reactive applications • Real-time databases • real-time database survey • real-time queries • stream processing
ISBN-10 3-030-10554-7 / 3030105547
ISBN-13 978-3-030-10554-9 / 9783030105549
Zustand Neuware
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