Data Stream Management: Processing High-Speed Data Streams
Springer | Computer Science | August 12, 2016 | ISBN-10: 3540286071 | 537 pages | pdf | 7 mb
Editors: Garofalakis, Minos, Gehrke, Johannes, Rastogi, Rajeev (Eds.)
Comprehensive introduction to the algorithmic and theoretical foundations of data stream processing – from basic mathematical models, algorithms, and analytics, and progressing to more advanced streaming algorithms and techniques
Provides a thorough discussion on system and language aspects of data stream processing, through surveys of influential system prototypes and language designs
Discusses representative applications of data stream processing techniques in different domains, including network management, financial analytics, publish/subscribe engines, and time-series analysis
Includes an overview of current data streaming products and new streaming application domains, such as cloud computing and complex event processing