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. Language: English