Storm : Distributed Real-Time Computation Blueprints

P. Taylor Goetz

ISBN 10: 178216829X / ISBN 13: 9781782168294

Published by Packt Publishing, 2014

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering.

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Bibliographic Details

• Title: Storm : Distributed Real-Time Computation Blueprints
• Publisher: Packt Publishing
• Publication Date: 2014
• Language: English
• ISBN 10: 178216829X
• ISBN 13: 9781782168294
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 191H x 19D millimeters 235 millimeters width by 191 millimeters height by 19 millimeters depth
• Weight: 629 grams

About this title

Synopsis

A blueprints book with 10 different projects built in 10 different chapters which demonstrate the various use cases of storm for both beginner and intermediate users, grounded in real-world example applications.

Although the book focuses primarily on Java development with Storm, the patterns are more broadly applicable and the tips, techniques, and approaches described in the book apply to architects, developers, and operations.

Additionally, the book should provoke and inspire applications of distributed computing to other industries and domains. Hadoop enthusiasts will also find this book a good introduction to Storm, providing a potential migration path from batch processing to the world of real-time analytics.

About the Author

P. Taylor Goetz

P. Taylor Goetz is an Apache Storm committer and release manager and has been involved with the usage and development of Storm since it was first released as open source in October of 2011. As an active contributor to the Storm user community, Taylor leads a number of open source projects that enable enterprises to integrate Storm into heterogeneous infrastructure. Presently, he works at Hortonworks where he leads the integration of Storm into Hortonworks Data Platform (HDP). Prior to joining Hortonworks, he worked at Health Market Science where he led the integration of Storm into HMS' next generation Master Data Management platform with technologies including Cassandra, Kafka, Elastic Search, and the Titan graph database.