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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

What is data governance?

Data governance refers to the overall management and implementation of policies, procedures, and standards for ensuring the high quality, integrity, and security of data in an organization.

Data is a business asset and is owned by specific LOBs in an organization. The process of improving data is continuous as new data is constantly generated and utilized by businesses for their daily operations. The improvement of data is quantified by data owners and its impact is linked directly to business outcomes.

Along with the data improvement process, the privacy and security portion of the data is also a key responsibility of the data owners. As soon as the data is compromised or misused, it can lead to severe consequences for an organization, impacting its operations, reputation, and financial well-being.

The following figure highlights the high-level components of data governance. We will dive into more details as we unfold this topic in this chapter:

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