Fundamentals of Stream Processing

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