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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
 Arumugam Arumugam
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Arumugam
 Patel Patel
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Patel
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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

Loading data from Amazon S3 using COPY

Amazon Redshift is a relational database management system (RDBMS) that supports a number of data model structures, including dimensional, denormalized, and aggregate (rollup) structures. This makes it optimal for analytics.

In this recipe, we will set up two separate sample datasets in Amazon Redshift that are publicly available:

For loading the datasets, we will use the COPY command, which allows data to be copied from Amazon S3 to Amazon Redshift. This is the recommend approach for loading large amounts of data.

Getting ready

To complete this recipe, you will need to do the following:

  • Deploy an Amazon Redshift cluster in AWS region eu-west-1.
  • Create Amazon Redshift cluster master user...
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Tech Concepts
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