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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

Scheduling Elastic Resizing

Although we've reviewed the on-demand resize operations that satisfy most use cases, there are times when customers are interested in scheduling a resize operation based on their business requirements. For example, you might want to upsize your cluster before starting your scheduled extract, transform and load process to satisfy any SLA needs.

Getting ready

To complete this recipe, you will need the following:

  • An IAM user with access to Amazon Redshift
  • An IAM role, Chapter8RedshiftSchedulerRole, that can schedule elastic resizing for a Redshift cluster
  • An Amazon Redshift cluster deployed in AWS Region eu-west-1

How to do it…

In this recipe, you will learn how to elastic resize the existing Redshift cluster using a schedule:

  1. Open the Amazon Redshift console: https://console.aws.amazon.com/redshiftv2/home.
  2. Select the cluster, click Actions, and select Resize:

    Figure 8.27 – Cluster management

  3. ...
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