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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
Tools
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

Getting started with AWS Data Pipeline


Creating your own pipeline is a fairly simple process, once you get to know the intricacies of working with the pipeline dashboard. In this section, we will be exploring the AWS Data Pipeline dashboard, its various functions, and editor to create a simple Hello World example pipeline. To start off, here are a few necessary prerequisite steps that you need to complete first, starting with a simple Amazon S3 bucket for storing all our data pipeline logs.

Note

AWS Data Pipeline is only available in the EU (Ireland), Asia Pacific (Sydney), Asia Pacific (Tokyo), US East (N. Virginia), and the US West (Oregon) regions. For the purpose of the scenarios in this chapter, we will be using the US East (N. Virginia) region only.

From the AWS Management Console, launch the Amazon S3 console by either filtering the service name from the Filter option or navigating to this URL: https://s3.console.aws.amazon.com/s3/home?region=us-east-1

Next, select the Create bucket...

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