Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Amazon Redshift Cookbook

You're reading from   Amazon Redshift Cookbook Recipes for building modern data warehousing solutions

Arrow left icon
Product type Paperback
Published in Jul 2021
Publisher Packt
ISBN-13 9781800569683
Length 384 pages
Edition 1st Edition
Languages
Arrow right icon
Authors (3):
Arrow left icon
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
Arrow right icon
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 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

Connecting to an Amazon Redshift cluster using the Query Editor

The Query Editor is a thin client browser-based interface available on the AWS Management Console for running SQL queries on Amazon Redshift clusters directly. Once you have created the cluster, you can use the Query Editor to jumpstart querying the cluster without needing to set up the JDBC/ODBC driver. This recipe will show you how get started with the Query Editor so that you can access your Redshift clusters.

The Query Editor allows you to do the following:

  • Explore the schema
  • Run multiple DDL and DML SQL commands
  • Run single/multiple select statements
  • View query execution details
  • Save a query
  • Download a query result set that's up to 100 MB in size in a .CSV, text, or HTML file

Getting ready

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

  • Create an IAM user with access to Amazon Redshift and AWS Secrets Manager.
  • Store the database credentials in Amazon...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image