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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 Apr 2025
Publisher Packt
ISBN-13 9781836206910
Length 468 pages
Edition 2nd Edition
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Authors (3):
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Shruti Worlikar Shruti Worlikar
Author Profile Icon Shruti Worlikar
Shruti Worlikar
 Patel Patel
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Patel
Anusha Challa Anusha Challa
Author Profile Icon Anusha Challa
Anusha Challa
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Toc

Table of Contents (16) Chapters Close

Preface 1. Getting Started with Amazon Redshift 2. Data Management FREE CHAPTER 3. Loading and Unloading Data 4. Zero-ETL Ingestions 5. Scalable Data Orchestration for Automation 6. Platform Authorization and Security 7. Data Authorization and Security 8. Performance Optimization 9. Cost Optimization 10. Lakehouse Architecture 11. Data Sharing with Amazon Redshift 12. Generative AI and ML with Amazon Redshift 13. Other Books You May Enjoy
14. Index
Appendix

Using LLMs in Amazon Bedrock using SQL statements

In this recipe, you’ll learn how to leverage LLMs for language translation directly within Amazon Redshift through its native integration with Amazon Bedrock. Amazon Redshift ML now extends its SQL-based ML capabilities to include foundation models available through Bedrock, enabling you to perform sophisticated natural language processing tasks using familiar SQL commands. We’ll demonstrate this capability by translating order comments from Spanish to English using Anthropic Claude 3 Haiku, one of the foundation models available through Amazon Bedrock. This integration showcases how you can combine Amazon Redshift’s data warehousing capabilities with advanced language models to perform translations directly within your database environment, eliminating the need for external translation services or data movement.

Getting ready

To complete this recipe, you will need:

  • An Amazon Redshift data warehouse...
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Tech Concepts
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Programming languages
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