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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 queries using the Amazon Redshift query editor

The Amazon Redshift console allows users to schedule queries on a Redshift cluster. Users can schedule long-running or time-sensitive queries, refresh materialized views at regular intervals, and load or unload data.

In this recipe, we will look at the steps required to schedule a query using the query editor.

Getting ready

To complete this recipe, you will need the following:

  • An Amazon Redshift cluster deployed in the eu-west-1 AWS region.
  • An IAM user with access to Amazon Redshift, the Amazon Redshift query editor, and Amazon EventBridge.
  • An IAM role attached to the Amazon Redshift cluster that can access Amazon EventBridge, which we will refer to in the recipes as [Your-Redshift_Role].
  • We will reuse the product_review_mv materialized view that was set up using the Managing materialized views recipe in Chapter 2, Data Management.

How to do it…

In this recipe, we will automate...

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