50,49 €
Storm Blueprints: Patterns for Distributed Real-time Computation
Storm Blueprints: Patterns for Distributed Real-time Computation
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Storm Blueprints: Patterns for Distributed Real-time Computation
Storm Blueprints: Patterns for Distributed Real-time Computation
El. knyga:
50,49 €
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…
  • Leidėjas:
  • Metai: 2014
  • Puslapiai: 336
  • ISBN: 9781782168300
  • ISBN-10: 1782168303
  • ISBN-13: 9781782168300
  • Formatas: ACSM ?
  • Kalba: Anglų

Storm Blueprints: Patterns for Distributed Real-time Computation (el. knyga) (skaityta knyga) | knygos.lt

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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.

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  • Autorius: P. Taylor Goetz
  • Leidėjas:
  • Metai: 2014
  • Puslapiai: 336
  • ISBN: 9781782168300
  • ISBN-10: 1782168303
  • ISBN-13: 9781782168300
  • Formatas: ACSM ?
  • Kalba: Anglų

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.

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