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Cover for 9781782167068 Cover for 9781449358624 Cover for 9781784392574
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Product Description: Spark offers a streamlined way to write distributed programs and this tutorial gives you the know-how as a software developer to make the most of Spark's many great features, providing an extra string to your bow. Overview Implement Spark's interactive shell to prototype distributed applications Deploy Spark jobs to various clusters such as Mesos, EC2, Chef, YARN, EMR, and so on Use Shark's SQL query-like syntax with Spark In Detail Spark is a framework for writing fast, distributed programs...read more

Paperback:

9781782167068 | Packt Pub Ltd, September 30, 2013, cover price $37.99 | About this edition: Spark offers a streamlined way to write distributed programs and this tutorial gives you the know-how as a software developer to make the most of Spark's many great features, providing an extra string to your bow.

cover image for 9781784392574
Product Description: Perform real-time analytics using Spark in a fast, distributed, and scalable way About This BookDevelop a machine learning system with Spark's MLlib and scalable algorithmsDeploy Spark jobs to various clusters such as Mesos, EC2, Chef, YARN, EMR, and so onThis is a step-by-step tutorial that unleashes the power of Spark and its latest featuresWho This Book Is ForFast Data Processing with Spark - Second Edition is for software developers who want to learn how to write distributed programs with Spark...read more

Paperback:

9781784392574 | 2 edition (Packt Pub Ltd, March 31, 2015), cover price $29.99 | About this edition: Perform real-time analytics using Spark in a fast, distributed, and scalable way About This BookDevelop a machine learning system with Spark's MLlib and scalable algorithmsDeploy Spark jobs to various clusters such as Mesos, EC2, Chef, YARN, EMR, and so onThis is a step-by-step tutorial that unleashes the power of Spark and its latest featuresWho This Book Is ForFast Data Processing with Spark - Second Edition is for software developers who want to learn how to write distributed programs with Spark.

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