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Azure Data and AI Architect Handbook

You're reading from   Azure Data and AI Architect Handbook Adopt a structured approach to designing data and AI solutions at scale on Microsoft Azure

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Product type Paperback
Published in Jul 2023
Publisher Packt
ISBN-13 9781803234861
Length 284 pages
Edition 1st Edition
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Authors (2):
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Olivier Mertens Olivier Mertens
Author Profile Icon Olivier Mertens
Olivier Mertens
Breght Van Baelen Breght Van Baelen
Author Profile Icon Breght Van Baelen
Breght Van Baelen
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Toc

Table of Contents (18) Chapters Close

Preface 1. Part 1: Introduction to Azure Data Architect
2. Chapter 1: Introduction to Data Architectures FREE CHAPTER 3. Chapter 2: Preparing for Cloud Adoption 4. Part 2: Data Engineering on Azure
5. Chapter 3: Ingesting Data into the Cloud 6. Chapter 4: Transforming Data on Azure 7. Chapter 5: Storing Data for Consumption 8. Part 3: Data Warehousing and Analytics
9. Chapter 6: Data Warehousing 10. Chapter 7: The Semantic Layer 11. Chapter 8: Visualizing Data Using Power BI 12. Chapter 9: Advanced Analytics Using AI 13. Part 4: Data Security, Governance, and Compliance
14. Chapter 10: Enterprise-Level Data Governance and Compliance 15. Chapter 11: Introduction to Data Security 16. Index 17. Other Books You May Enjoy

Summary

Data governance and compliance are critical components of any data strategy. In this chapter, we explored the importance of data governance, its goals, and the roles involved in its implementation, along with Microsoft Purview and data governance frameworks.

We highlighted four main goals of data governance, namely managing an ever-growing data landscape, overcoming data silos, increasing data agility, and complying with data regulations.

The chapter also discussed the different roles involved in data governance. Executives, governance boards, data stewards, data owners, and SMEs all have a part to play in ensuring that data is managed effectively and efficiently.

We explored Microsoft Purview as a core component for the implementation of data governance and compliance, which provides a Data Map, Data Catalog, and Data Estate Insights. This tool can help organizations understand their data landscape (even in its most decentralized form) and make better decisions about...

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