Storm blueprints : patterns for distributed real-time computation : use storm design patterns to perform distributed, real-time big data processing, and analytics for real-world use cases
(eBook)

Book Cover
Average Rating
Contributors
Published
Birmingham, UK : Packt Pub., 2014.
ISBN
178216829X, 9781782168294, 9781782168300, 1782168303
Physical Desc
1 online resource (1 volume) : illustrations
Status

Description

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Format
eBook
Language
English

Notes

General Note
Includes index.
Description
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 go.
Local note
O'Reilly,O'Reilly Online Learning Platform: Academic Edition (EZproxy Access)

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Citations

APA Citation, 7th Edition (style guide)

Goetz, P. T., & O'Neill, B. (2014). Storm blueprints: patterns for distributed real-time computation : use storm design patterns to perform distributed, real-time big data processing, and analytics for real-world use cases . Packt Pub..

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Goetz, P. Taylor and Brian. O'Neill. 2014. Storm Blueprints: Patterns for Distributed Real-time Computation : Use Storm Design Patterns to Perform Distributed, Real-time Big Data Processing, and Analytics for Real-world Use Cases. Packt Pub.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Goetz, P. Taylor and Brian. O'Neill. Storm Blueprints: Patterns for Distributed Real-time Computation : Use Storm Design Patterns to Perform Distributed, Real-time Big Data Processing, and Analytics for Real-world Use Cases Packt Pub, 2014.

MLA Citation, 9th Edition (style guide)

Goetz, P. Taylor., and Brian O'Neill. Storm Blueprints: Patterns for Distributed Real-time Computation : Use Storm Design Patterns to Perform Distributed, Real-time Big Data Processing, and Analytics for Real-world Use Cases Packt Pub., 2014.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.