Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletter Hub
Free Learning
Arrow right icon
timer SALE ENDS IN
0 Days
:
00 Hours
:
00 Minutes
:
00 Seconds
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 Apr 2025
Publisher Packt
ISBN-13 9781836206910
Length 470 pages
Edition 2nd Edition
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
Anusha Challa Anusha Challa
Author Profile Icon Anusha Challa
Anusha Challa
Arrow right icon
View More author details
Toc

Table of Contents (17) 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. Unlock Your Exclusive Benefits 14. Other Books You May Enjoy
15. Index
Appendix

Data sharing using AWS Data Exchange for monetization and subscribing to third-party data

AWS Data Exchange enables secure data sharing of Amazon Redshift data through its integration with Redshift data shares. Organizations can publish their Redshift data as licensed data products, which subscribers can directly query from their own Redshift clusters without copying or moving the underlying data. To share data, providers first create a data share in their Redshift cluster using the CREATE DATASHARE command, add specific schemas, tables, or views, and then publish it as a data product on AWS Data Exchange. Publishers can choose to publicly or privately share products. Subscribers can discover these data products through the AWS Data Exchange catalog, and once subscribed, the data appears as a database in their Redshift cluster through the use of a managed AWS Data Exchange data share. This streamlines data monetization and consumption while maintaining security.

Getting ready

...
lock icon The rest of the chapter is locked
CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
Amazon Redshift Cookbook
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
Modal Close icon
Modal Close icon