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

EMR cluster management – different methods


Amazon EMR provides a hosted Hadoop, Pig, Hive, and Hbase services for developers and businesses to help them build Big Data applications without worrying about the deployment complexity or managing Hadoop clusters with scalable underlying infrastructure. We have learned the benefits of Amazon EMR in Chapter 4, Amazon EMR – Hadoop on Amazon Web Services. In this section, we will look at the different ways of managing an Amazon EMR cluster.

We can access the AWS EMR service using multiple ways as listed:

  • Web console (AWS management console): This is a web interface to access all Amazon Web Service offerings. It can be used to launch EMR jobs and manage them. The AWS management console is an easy-to-use interface for developers who are not very familiar with using command-line interface (CLI) or programmatic SDK. We saw how to use the AWS management console to launch an EMR cluster in Chapter 6, Executing Hadoop Jobs on an Amazon EMR Cluster.

  • AWS SDK...