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Amazon Redshift Cookbook

You're reading from   Amazon Redshift Cookbook Recipes for building modern data warehousing solutions

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Product type Paperback
Published in Jul 2021
Publisher Packt
ISBN-13 9781800569683
Length 384 pages
Edition 1st Edition
Languages
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Authors (3):
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Shruti Worlikar Shruti Worlikar
Author Profile Icon Shruti Worlikar
Shruti Worlikar
Harshida Patel Harshida Patel
Author Profile Icon Harshida Patel
Harshida Patel
Thiyagarajan Arumugam Thiyagarajan Arumugam
Author Profile Icon Thiyagarajan Arumugam
Thiyagarajan Arumugam
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Toc

Table of Contents (13) Chapters Close

Preface 1. Chapter 1: Getting Started with Amazon Redshift 2. Chapter 2: Data Management FREE CHAPTER 3. Chapter 3: Loading and Unloading Data 4. Chapter 4: Data Pipelines 5. Chapter 5: Scalable Data Orchestration for Automation 6. Chapter 6: Data Authorization and Security 7. Chapter 7: Performance Optimization 8. Chapter 8: Cost Optimization 9. Chapter 9: Lake House Architecture 10. Chapter 10: Extending Redshift's Capabilities 11. Other Books You May Enjoy Appendix

Unloading data to Amazon S3

Amazon Redshift can create a copy of the data on Amazon S3 using the UNLOAD command. The UNLOAD command splits the data across multiple files based on the node slices across the Redshift cluster.

This recipe will show you how to use UNLOAD data from an Amazon Redshift cluster in an Amazon S3 bucket.

Getting ready

To complete this recipe, you will need to do the following:

  • Gain access to the AWS Console.
  • Deploy an Amazon Redshift deployed in AWS region eu-west-1. Load the data, as referenced in the Loading data from Amazon S3 recipe.
  • Create Amazon Redshift cluster master user credentials.
  • Gain access to any SQL interface, such as a SQL client or the Amazon Redshift Query Editor.
  • Create an Amazon S3 bucket in eu-west-1. We will reference it as [Your-Amazon_S3_Bucket].
  • Attach an IAM role to an Amazon Redshift cluster that can access Amazon S3.

How to do it…

To unload the data from Amazon Redshift into...

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