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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

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Product type Course
Published in Jan 2019
Publisher Packt
ISBN-13 9781788835770
Length 690 pages
Edition 1st Edition
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Concepts
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Authors (4):
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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
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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

Understanding the AWS analytics suite of services


With the growth of big data and its adoption across organizations on the rise, many cloud providers today provide a plethora of services that are specifically designed to run massive computations and analytics on large volumes of data. AWS is one such cloud provider that also has invested a lot into the big data and analytics paradigm with a host of services offering ready-to-use frameworks, business insights and data warehousing solutions, as well. Here is a brief explanation of the AWS analytics suite of services:

  • Amazon EMR: Amazon Elastic MapReduce or EMR is a quick and easy to use service that provides users with a scalable, managed Hadoop ecosystem and framework. You can leverage EMR to process vast amounts of data without having to worry about configuring the underlying Hadoop platform. We will be learning and exploring more on EMR in the subsequent sections of this chapter.
  • Amazon Athena: Amazon Athena takes big data processing up a...
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