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1. The Ultimate Guide to C2090-558 Informix
11.70 Fundamentals – pw9.org
C2090-558 Informix 11.70 Fundamentals Certification Exam Credential. 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.
Establishes fundamentals and techniques for design and implementation of stream processing
applications, demonstrating end-to-end solutions for real-world problems
Includes a comprehensive description of the underlying architectural and systems constructs that
support the large scale, high-performance and fault tolerance requirements of stream processing
applications, helping you learn about the operating principles of distributed stream processing
platforms
Provides an overview of the use of online and streaming analytic algorithms suitable for stream
processing applications, revealing state-of-the-art streaming algorithms and techniques and
different modes of their usage
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Date Published: February 2014

2. format: Hardback
isbn: 9781107015548
length: 558 pages
dimensions: 244 x 170 x 30 mm
weight: 1.13kg
contains: 191 b/w illus. 17 tables 10 exercises
availability: Available
Table of Contents
Part I. Fundamentals:1. What brought us here?2. Introduction to stream processingPart II.
Application Development:3. Application development - the basics4. Application development -
data flow programming5. Large-scale development - modularity, extensibility, and distribution6.
Application engineering - debugging and visualizationPart III. System Architecture:7.
Architecture of a stream processing system8. InfoSphere streams architecturePart IV.
Application Design and Analytics:9. Design principles and patterns for stream processing
applications10. Stream processing and mining algorithmsPart V. Case Studies:11. End-to-end
application examplesPart VI. Closing Notes:12. Conclusion.
Look Inside
Marketing Excerpt (793 KB)
Front Matter (1664 KB)
Copyright Information Page (641 KB)
Table of Contents (793 KB)
Index (1735 KB)
Authors