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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

Chapter 7: Performance Optimization

Amazon Redshift provides out-of-the-box capabilities for most workloads. Amazon Redshift defaults the table design choices, such as sort and distribution key, to AUTO and can learn from the query workloads to automatically set up the right structure. For more information, see Working with automatic table optimization (https://docs.aws.amazon.com/redshift/latest/dg/t_Creating_tables.html).

As a user of Amazon Redshift, it provides the necessary levers so that you can further optimize/pick a different choice when needed. The sort, distribution key, and table encoding choices have influential effects on the performance of queries, and in this chapter, we will discuss the optimization techniques we can use to improve these throughputs. Also, we will take a deep dive into analyzing queries to understand the rationale behind the tuning exercise.

In this chapter, we will cover the following recipes:

  • Amazon Redshift Advisor
  • Managing column...
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