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You're reading from  Frank Kane's Taming Big Data with Apache Spark and Python

Product typeBook
Published inJun 2017
Reading LevelIntermediate
PublisherPackt
ISBN-139781787287945
Edition1st Edition
Languages
Python
Tools
Apache Spark
Concepts
Big Data
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Author (1)
Frank Kane
Frank Kane
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Frank Kane

Frank Kane has spent nine years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers all the time. He holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology and teaches others about big data analysis.
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Introducing Elastic MapReduce

The easiest way to actually get up and running on a cluster, if you don't already have a Spark cluster, is using Amazon's Elastic MapReduce service. Even though it says MapReduce in the name, you can actually configure it to set up a Spark cluster for you and run that on top of Hadoop – it sets everything up for you automatically. Let's walk through what Elastic MapReduce is, how it interacts with Spark, and how to decide if it's really something you want to be messing with.

Why use Elastic MapReduce?

Using Amazon's Elastic MapReduce service is an easy way to rent the time you need on a cluster to actually run your Spark job. You don't have to just run MapReduce jobs, you can actually run Spark and use the underlying Hadoop environment to run as your cluster manager. It has something called Hadoop YARN. If you've taken my course on MapReduce and Hadoop you will have heard of this already. Basically, YARN is Hadoop's cluster manager and Spark is able to run on...

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Frank Kane's Taming Big Data with Apache Spark and Python
Published in: Jun 2017Publisher: PacktISBN-13: 9781787287945
© 2017 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Frank Kane

Frank Kane has spent nine years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers all the time. He holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology and teaches others about big data analysis.
Read more about Frank Kane

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