Real-Time & Stream Data Management : Push-Based Data in Research & Practice / / by Wolfram Wingerath, Norbert Ritter, Felix Gessert

• Autore: Wingerath Wolfram
• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
• Edizione: 1st ed. 2019.
• Descrizione fisica: 1 online resource (IX, 77 p. 15 illus., 6 illus. in color.)
• Disciplina: 025.04
• Soggetto topico: Information storage and retrieval; Database management; Data structures (Computer science); Information Storage and Retrieval; Database Management; Data Structures
• Persona (resp. second.): RitterNorbert; GessertFelix
• Sommario/riassunto: 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.
• Titolo autorizzato: Real-Time & Stream Data Management
• ISBN: 3-030-10555-5
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910337574103321
• Lo trovi qui: Univ. Federico II
• Serie: SpringerBriefs in Computer Science, . 2191-5768