Fundamentals of Stream Processing
Application Design, Systems, and Analytics
1st Edition
Published on 30. September 2013
978-1-107-43924-5 (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
File size
8,97 MB
ISBN-13
978-1-107-43924-5 (9781107439245)
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
Henrique C. M. Andrade | Bugra Gedik | Deepak S. Turaga
Fundamentals of Stream Processing
Application Design, Systems, and Analytics
Book
02/2014
Cambridge University Press
€120.90
Shipment within 15-20 days
Persons
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.
