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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

Managing data distribution

Distribution style is a table property that dictates how that table's data is distributed throughout the compute nodes. The goal of data distribution is to leverage the massively parallel processing of Amazon Redshift and reduce the I/O during query processing to improve performance. Amazon Redshift Advisor provides actionable recommendations on distribution style for the table via the alter statement. Using automatic table optimization allows you to self-manage the table distribution style based on workload patterns:

  • KEY: The value is hashed. The same value goes to the same location (slice).
  • ALL: The entirety of the table data goes to the first slice of every compute node.
  • EVEN: Round robin data distribution is performed across the compute nodes and slices.
  • AUTO: Combines the EVEN, ALL, and KEY distributions:

Figure 7.6 – Data distribution styles

In this recipe, you will learn how Amazon Redshift...

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