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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.
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