
Real-Time & Stream Data Management
Description
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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.
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Content
- 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-Diff
- Oplog 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 Processing
- 5.3 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
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File format: PDF
Copy protection: Watermark-DRM (Digital Rights Management)
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