Book Image

Learning Big Data with Amazon Elastic MapReduce

By : Amarkant Singh, Vijay Rayapati
Book Image

Learning Big Data with Amazon Elastic MapReduce

By: Amarkant Singh, Vijay Rayapati

Overview of this book

<p>Amazon Elastic MapReduce is a web service used to process and store vast amount of data, and it is one of the largest Hadoop operators in the world. With the increase in the amount of data generated and collected by many businesses and the arrival of cost-effective cloud-based solutions for distributed computing, the feasibility to crunch large amounts of data to get deep insights within a short span of time has increased greatly.</p> <p>This book will get you started with AWS so that you can quickly create your own account and explore the services provided, many of which you might be delighted to use. This book covers the architectural details of the MapReduce framework, Apache Hadoop, various job models on EMR, how to manage clusters on EMR, and the command-line tools available with EMR. Each chapter builds on the knowledge of the previous one, leading to the final chapter where you will learn about solving a real-world use case using Apache Hadoop and EMR. This book will, therefore, get you up and running with major Big Data technologies quickly and efficiently.</p>
Table of Contents (18 chapters)
Learning Big Data with Amazon Elastic MapReduce
Credits
About the Authors
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
Index

How to launch an EMR cluster


The following are the tools provided by AWS to launch an EMR cluster:

  • AWS management console

  • CLI tools

  • SDKs available for a range of programming languages

In this chapter, we will use the first method, that is, we will launch an EMR cluster from the AWS management console. You will get to know about the second method in Chapter 8, Amazon EMR – Command-line Interface Client, which would take up the command-line tool available to be used with EMR.

Perform the following steps to launch an EMR cluster and add the Job Step to execute our HadoopHelloWorld problem.

Step 1 – Opening the Elastic MapReduce dashboard

Log in to your AWS management console and go to the EMR Dashboard by navigating to Services | All AWS Services | Elastic MapReduce. From the top-right corner, select the region in which you want your cluster to be launched. Also make sure that you have an EC2 key pair generated for this region.

Step 2 – Creating an EMR cluster

Click on Create Cluster. This will open...