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Data Engineering with AWS Cookbook

You're reading from   Data Engineering with AWS Cookbook A recipe-based approach to help you tackle data engineering problems with AWS services

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Product type Paperback
Published in Nov 2024
Publisher Packt
ISBN-13 9781805127284
Length 528 pages
Edition 1st Edition
Languages
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Authors (4):
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Viquar Khan Viquar Khan
Author Profile Icon Viquar Khan
Viquar Khan
Gonzalo Herreros González Gonzalo Herreros González
Author Profile Icon Gonzalo Herreros González
Gonzalo Herreros González
Huda Nofal Huda Nofal
Author Profile Icon Huda Nofal
Huda Nofal
Trâm Ngọc Phạm Trâm Ngọc Phạm
Author Profile Icon Trâm Ngọc Phạm
Trâm Ngọc Phạm
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Toc

Table of Contents (16) Chapters Close

Preface 1. Chapter 1: Managing Data Lake Storage 2. Chapter 2: Sharing Your Data Across Environments and Accounts FREE CHAPTER 3. Chapter 3: Ingesting and Transforming Your Data with AWS Glue 4. Chapter 4: A Deep Dive into AWS Orchestration Frameworks 5. Chapter 5: Running Big Data Workloads with Amazon EMR 6. Chapter 6: Governing Your Platform 7. Chapter 7: Data Quality Management 8. Chapter 8: DevOps – Defining IaC and Building CI/CD Pipelines 9. Chapter 9: Monitoring Data Lake Cloud Infrastructure 10. Chapter 10: Building a Serving Layer with AWS Analytics Services 11. Chapter 11: Migrating to AWS – Steps, Strategies, and Best Practices for Modernizing Your Analytics and Big Data Workloads 12. Chapter 12: Harnessing the Power of AWS for Seamless Data Warehouse Migration 13. Chapter 13: Strategizing Hadoop Migrations – Cost, Data, and Workflow Modernization with AWS 14. Index 15. Other Books You May Enjoy

Redshift live data sharing among your clusters

Redshift data sharing is a feature provided by Amazon Redshift. It enables the sharing of data within and across AWS accounts, allowing different teams or users to access the same data sets for their analytics or reporting needs. Datashare reflects updates in the producer cluster in real time with the consumers ensuring that all users have access to the most up-to-date information without the need to create and maintain duplicate copies of the same data.

In this recipe, we will see how to share Redshift data between two Redshift clusters in different AWS accounts.

Getting ready

This recipe assumes that you have two encrypted Redshift clusters using Ra3 node types. Also, the tables to be shared from the producer cluster should not have interleaved sort keys. If you want to follow the recipe with clusters in the same account, you can skip the authorization and association steps. Instead, directly grant usage of the datashare to...

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Data Engineering with AWS Cookbook
Published in: Nov 2024
Publisher: Packt
ISBN-13: 9781805127284
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