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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

The importance of data governance and compliance

Businesses are becoming more and more data-driven as time goes on. They have good reason to do so, as revenue, time-to-market, profits, and customer satisfaction increase greatly for data-driven businesses. Given this trend, the need for data governance is higher than ever.

The goals of data governance can be summarized as follows:

  • Managing an ever-growing data landscape
  • Overcoming data silos
  • Increasing data agility
  • Complying with data regulations

More data-driven organizations mean a faster growth of the global data volume, but also a larger data landscape per organization. The latter will cause serious issues in the long run when managed incorrectly. With a strong data governance strategy alongside the right tools and services, a data landscape will remain clear and structured at scale. The data landscape tends to grow exponentially with the business. When the business grows, new subsidiaries or acquisitions...

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