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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 governance on AWS

AWS recognizes data governance as a combination of people, processes, and tools that all work in tandem to ensure that a modern data platform continuously maintains high-quality data securely. Data governance mechanisms are applied throughout the life cycle of the data – right from ingestion until consumption.

The following figure demonstrates the approach of having a governed data platform using a combination of people, processes, and technology:

Figure 14.3 – Data governance operating model on AWS

Figure 14.3 – Data governance operating model on AWS

When the rubber meets the road and you try to put technology into every type of process you want to govern, it often makes it challenging to use just a few tools or services. This is because the governance process is broad and diverse, even in terms of technology. Every tool, service, or vendor product focuses on certain components of governance. For example, some tools/vendors focus on data quality, some focus on data...

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