
Fundamentals of Stream Processing
Application Design, Systems, and Analytics
Cambridge University Press
Published on 13. February 2014
Book
Hardback
558 pages
978-1-107-01554-8 (ISBN)
Description
Stream processing is a novel distributed computing paradigm that supports the gathering, processing and analysis of high-volume, heterogeneous, continuous data streams, to extract insights and actionable results in real time. This comprehensive, hands-on guide combining the fundamental building blocks and emerging research in stream processing is ideal for application designers, system builders, analytic developers, as well as students and researchers in the field. This book introduces the key components of the stream computing paradigm, including the distributed system infrastructure, the programming model, design patterns and streaming analytics. The explanation of the underlying theoretical principles, illustrative examples and implementations using the IBM InfoSphere Streams SPL language and real-world case studies provide students and practitioners with a comprehensive understanding of such applications and the middleware that supports them.
More details
Language
English
Place of publication
Cambridge
United Kingdom
Target group
Professional and scholarly
Illustrations
Worked examples or Exercises; 17 Tables, black and white; 191 Line drawings, unspecified
Dimensions
Height: 250 mm
Width: 175 mm
Thickness: 34 mm
Weight
1130 gr
ISBN-13
978-1-107-01554-8 (9781107015548)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

E-Book
02/2014
Cambridge University Press
€93.99
Available for download

Henrique C. M. Andrade | Bugra Gedik | Deepak S. Turaga
Fundamentals of Stream Processing
Application Design, Systems, and Analytics
E-Book
09/2013
1st Edition
Cambridge University Press
€111.99
Available for download
Persons
Author
Vice President
Bilkent University, Ankara
Content
Part I. Fundamentals: 1. What brought us here?; 2. Introduction to stream processing; Part II. Application Development: 3. Application development - the basics; 4. Application development - data flow programming; 5. Large-scale development - modularity, extensibility, and distribution; 6. Application engineering - debugging and visualization; Part III. System Architecture: 7. Architecture of a stream processing system; 8. InfoSphere streams architecture; Part IV. Application Design and Analytics: 9. Design principles and patterns for stream processing applications; 10. Stream processing and mining algorithms; Part V. Case Studies: 11. End-to-end application examples; Part VI. Closing Notes: 12. Conclusion.