Notice bibliographique
- Notice
Type(s) de contenu et mode(s) de consultation : Texte noté : électronique
Auteur(s) : Wingerath, Wolfram
Titre(s) : Real-time & stream data management [Texte électronique] : push-based data in research & practice / Wolfram Wingerath, Norbert Ritter, Felix Gessert
Publication : Cham : Springer, copyright 2019
Description matérielle : 1 ressource dématérialisée
Collection : SpringerBriefs in computer science
Lien à la collection : SpringerBriefs in computer science (Internet)
Note(s) : Notes bibliogr.
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
La pagination de l'édition imprimée correspondante est de : IX-77 p.
Autre(s) forme(s) du titre :
- Forme développée du titre : Real-time and stream data management
Sujet(s) : Bases de données -- Gestion
Diffusion sélective (réseaux d'ordinateurs)
Données massives
Indice(s) Dewey :
005.74 (23e éd.) = Fichiers de donnée et bases de données (informatique)
Identifiants, prix et caractéristiques : ISBN 9783030105556. - ISBN 3030105555. - ISBN 9783030105549 (erroné). - ISBN 3030105547
(erroné)
Identifiant de la notice : ark:/12148/cb45779201w
Notice n° :
FRBNF45779201
(notice reprise d'un réservoir extérieur)
Table des matières : Intro; Preface; Contents; About the Authors; 1 An Introduction to Real-Time Data Management;
1.1 A Brief History of Data Management; 1.2 Data Access: Pull vs. Push; 1.3 Query
Semantics: Collections vs. Streams; 1.4 Chapter Outline; References; 2 Database Management;
2.1 Triggers and Active Databases; 2.2 Change Data Capture, Cache Coherence, and Time-Series
Data; 2.3 Materialized Views; 2.4 Change Notifications; 2.5 Summary and Discussion;
References; 3 Real-Time Databases; 3.1 What Is a Real-Time Database?; 3.2 What Is
a Real-Time Query?; 3.3 System Landscape; 3.3.1 Meteor
Change Monitoring + Poll-and-DiffOplog Tailing; 3.3.2 RethinkDB; Changefeeds; 3.3.3
Parse; Live Queries; 3.3.4 Firebase; Data Modeling and Querying; Advanced Queries
with Firestore; 3.3.5 Baqend; Two-Dimensional Workload Partitioning for Linear Scalability;
3.3.6 Further Systems; 3.4 Summary and Discussion; References; 4 Data Stream Management;
4.1 Queries Over Streams; 4.2 Notions of Time; 4.3 Windowing and Approximation; 4.4
Complex Event Processing; 4.5 Messaging Middleware; 4.6 Summary and Discussion; References;
5 General-Purpose Stream Processing; 5.1 Architectural Patterns
5.2 Batch vs. Stream Processing5.3 State-of-the-Art Stream Processing Frameworks;
5.3.1 Storm; Storm Trident; 5.3.2 Samza; 5.3.3 Spark Streaming; 5.3.4 Flink; 5.3.5
Further Systems; 5.4 Design Decisions and Trade-Offs; 5.5 Summary and Discussion;
References; 6 State of the Art and Future Directions; 6.1 The Big Picture; 6.2 Real-Time
Databases: A New Paradigm for Data Management; 6.3 Closing Thoughts; Reference
