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Modern Data Architecture on AWS

You're reading from   Modern Data Architecture on AWS A Practical Guide for Building Next-Gen Data Platforms on AWS

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Product type Paperback
Published in Aug 2023
Publisher Packt
ISBN-13 9781801813396
Length 420 pages
Edition 1st Edition
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Author (1):
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Behram Irani Behram Irani
Author Profile Icon Behram Irani
Behram Irani
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Table of Contents (24) Chapters Close

Preface 1. Part 1: Foundational Data Lake
2. Prologue: The Data and Analytics Journey So Far FREE CHAPTER 3. Chapter 1: Modern Data Architecture on AWS 4. Chapter 2: Scalable Data Lakes 5. Part 2: Purpose-Built Services And Unified Data Access
6. Chapter 3: Batch Data Ingestion 7. Chapter 4: Streaming Data Ingestion 8. Chapter 5: Data Processing 9. Chapter 6: Interactive Analytics 10. Chapter 7: Data Warehousing 11. Chapter 8: Data Sharing 12. Chapter 9: Data Federation 13. Chapter 10: Predictive Analytics 14. Chapter 11: Generative AI 15. Chapter 12: Operational Analytics 16. Chapter 13: Business Intelligence 17. Part 3: Govern, Scale, Optimize And Operationalize
18. Chapter 14: Data Governance 19. Chapter 15: Data Mesh 20. Chapter 16: Performant and Cost-Effective Data Platform 21. Chapter 17: Automate, Operationalize, and Monetize 22. Index 23. Other Books You May Enjoy

Data mesh on Amazon Redshift

A data mesh is an architecture pattern that’s not just limited to a single kind of analytics setup. A data lake is a prominent architecture that benefits from a data mesh in a large organization setup, with many independent analytics environments. However, data warehouses are also a foundational data store for analytics operations, and many times, data warehouses are the primary driving force of a data platform. Let’s look at how to establish a data mesh architecture using Amazon Redshift and Amazon DataZone.

The Redshift datashare feature plays a huge role in creating a data mesh using just Redshift. Any number of Redshift clusters, in any AWS account and region, can share datasets with other such clusters. This allows data producers to share data just by using SQL statements inside Redshift. Also, the consumers in other Redshift clusters use SQL statements to gain access to such shared assets.

However, distributed federated governance...

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