Sprache: Englisch
Verlag: Cambridge University Press, 2014
ISBN 10: 1107015545 ISBN 13: 9781107015548
Anbieter: Friends of the Multnomah County Library, Portland, OR, USA
Erstausgabe
Hardcover. Zustand: Very Good. 1st Edition. Clean pages tightly bound. Boards in excellent shape.
Sprache: Englisch
Verlag: Cambridge University Press, 2014
ISBN 10: 1107015545 ISBN 13: 9781107015548
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 111,58
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Cambridge University Press, 2014
ISBN 10: 1107015545 ISBN 13: 9781107015548
Anbieter: Kennys Bookstore, Olney, MD, USA
EUR 162,33
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: 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. . . . . Books ship from the US and Ireland.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 167,36
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 529 pages. 9.75x7.00x1.50 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2014
ISBN 10: 1107015545 ISBN 13: 9781107015548
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.