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Amazon Redshift Cookbook

You're reading from  Amazon Redshift Cookbook

Product type Book
Published in Jul 2021
Publisher Packt
ISBN-13 9781800569683
Pages 384 pages
Edition 1st Edition
Languages
Authors (3):
Shruti Worlikar Shruti Worlikar
Profile icon Shruti Worlikar
Thiyagarajan Arumugam Thiyagarajan Arumugam
Profile icon Thiyagarajan Arumugam
Harshida Patel Harshida Patel
Profile icon Harshida Patel
View More author details
Toc

Table of Contents (13) Chapters close

Preface 1. Chapter 1: Getting Started with Amazon Redshift 2. Chapter 2: Data Management 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

Column-level security

Amazon Redshift supports fine-grained data security with column-level controls. Column-level security can be applied to local tables, views, and materialized views. Applying column-level security allows you to restrict access to personally identifiable information (PII) or payment card information (PCI) to selected people. For instance, you can grant the finance or human resources team access to sensitive information but restrict access to the sales and marketing team.

Getting ready

To complete this recipe, you will need the following:

  • An Amazon Redshift cluster deployed in AWS Region eu-west-1
  • Amazon Redshift cluster masteruser credentials
  • Access to any SQL interface such as a SQL client or the Amazon Redshift Query Editor

How to do it

In this recipe, we will use a customer table. Using column-level access control, a sales user will be restricted from accessing the phone number column:

  1. Connect to the Amazon Redshift cluster...
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