Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Implementing AWS: Design, Build, and Manage your Infrastructure.

You're reading from   Implementing AWS: Design, Build, and Manage your Infrastructure. Leverage AWS features to build highly secure, fault-tolerant, and scalable cloud environments

Arrow left icon
Product type Course
Published in Jan 2019
Publisher Packt
ISBN-13 9781788835770
Length 690 pages
Edition 1st Edition
Tools
Concepts
Arrow right icon
Authors (4):
Arrow left icon
Yohan Wadia Yohan Wadia
Author Profile Icon Yohan Wadia
Yohan Wadia
Lucas Chan Lucas Chan
Author Profile Icon Lucas Chan
Lucas Chan
Udita Gupta Udita Gupta
Author Profile Icon Udita Gupta
Udita Gupta
Rowan Udell Rowan Udell
Author Profile Icon Rowan Udell
Rowan Udell
Arrow right icon
View More author details
Toc

Table of Contents (29) Chapters Close

Title Page
Copyright and Credits
About Packt
Contributors
Preface
1. What is 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. Powering Analytics Using Amazon EMR and Amazon Redshift 9. Orchestrating Data using AWS Data Pipeline 10. Managing AWS Accounts 11. Using AWS Compute 12. Management Tools 13. Database Services 14. Introducing AWS Lambda 15. Writing Lambda Functions 16. Testing Lambda Functions 17. Event-Driven Model 18. Extending AWS Lambda with External Services 19. Build and Deploy Serverless Applications with AWS Lambda 20. Monitoring and Troubleshooting AWS Lambda 21. AWS Lambda - Use Cases 22. Next Steps with AWS Lambda 1. Other Books You May Enjoy Index

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...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime