The document is a comprehensive guide on IBM Infosphere Optim for distributed systems, focusing on stream processing, which enables real-time analysis of high-volume data streams. It covers the fundamental concepts, design patterns, and system architecture necessary for developing streaming applications, complemented by real-world case studies. This resource is designed for application designers, developers, and researchers, providing an in-depth understanding of the design and implementation of stream processing solutions.

1. The Ultimate Guide to C2090-552 IBM
InfoSphere Optim for Distributed Systems
Fundamentals – pw9.org
C2090-552 IBM InfoSphere Optim for Distributed Systems 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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2. × Product details
Date Published: February 2014
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