Fundamentals of Stream Processing

Deepak S. Turaga

ISBN 10: 1107015545 / ISBN 13: 9781107015548

Published by Cambridge University Press, 2014

About this Item

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.

Seller Inventory # 9781107015548

Bibliographic Details

• Title: Fundamentals of Stream Processing
• Publisher: Cambridge University Press
• Publication Date: 2014
• Language: English
• ISBN 10: 1107015545
• ISBN 13: 9781107015548
• Binding: Buch
• Condition: Neu
• Dimensions: 250W x 175H x 34D millimeters 250 millimeters width by 175 millimeters height by 34 millimeters depth
• Weight: 1130 grams

About this title

Synopsis

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.

Book Description

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.