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AWS Administration - The Definitive Guide

You're reading from   AWS Administration - The Definitive Guide Design, build, and manage your infrastructure on Amazon Web Services

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Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781788478793
Length 358 pages
Edition 2nd Edition
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Author (1):
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Yohan Wadia Yohan Wadia
Author Profile Icon Yohan Wadia
Yohan Wadia
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Table of Contents (13) Chapters Close

Preface 1. What's New in AWS? FREE CHAPTER 2. Managing EC2 with Systems Manager 3. Introducing Elastic Beanstalk and Elastic File System 4. Securing Workloads Using AWS WAF 5. Governing Your Environments Using AWS CloudTrail and AWS Config 6. Access Control Using AWS IAM and AWS Organizations 7. Transforming Application Development Using the AWS Code Suite 8. Messaging in the Cloud Using Amazon SNS and Amazon SQS 9. Powering Analytics Using Amazon EMR and Amazon Redshift 10. Orchestrating Data using AWS Data Pipeline 11. Connecting the World with AWS IoT and AWS Greengrass 12. Other Books You May Enjoy

Introducing Amazon EMR


As mentioned earlier, Amazon EMR is a managed service that provides big data analytics frameworks, such as Apache Hadoop and Apache Spark straight out of the box and ready for use. Using Amazon EMR, you can easily perform a variety of use cases such as batch processing, big data analytics, low-latency querying, data streaming, or even use EMR as a large datastore itself!

With Amazon EMR, there is very little underlying infrastructure to manage on your part. You simply have to decide the number of instances you initially want to run your EMR cluster on and start consuming the framework for analytics and processing. Amazon EMR provides you with features that enable you to scale your infrastructure based on your requirements, without affecting the existing setups. Here is a brief look at some of the benefits that you can obtain by leveraging Amazon EMR for your own workloads:

  • Pricing: Amazon EMR relies on EC2 instances to spin up your Apache Hadoop or Apache Spark clusters...
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