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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This book teaches fundamentals of the stream processing paradigm that addresses performance, scalability, and usability challenges in extracting insights from massive amounts of live, streaming data. It presents core principles behind application design, system infrastructure, and analytics, coupled with real-world examples for a comprehensive understanding of the stream processing area.
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Hardcover. Condition: new. Hardcover. 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. This book teaches fundamentals of the stream processing paradigm that addresses performance, scalability and usability challenges in extracting insights from massive amounts of live, streaming data. It presents core principles behind application design, system infrastructure and analytics, coupled with real-world examples for a comprehensive understanding of the stream processing area. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781107015548
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Condition: New. This book teaches fundamentals of stream processing, covering application design, distributed systems infrastructure, and continuous analytic algorithms. Num Pages: 558 pages, 191 b/w illus. 17 tables 10 exercises. BIC Classification: UMB; UNF; UT; UYS. Category: (P) Professional & Vocational. Dimension: 181 x 254 x 37. Weight in Grams: 108. . 2014. hardcover. . . . . Seller Inventory # V9781107015548
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