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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

Preparing for Cloud Adoption

We discussed the challenges of on-premises architectures in the last chapter, but it turns out that for the majority of businesses, moving to the cloud can be greatly beneficial. However, organizations that do not have experience with the cloud can struggle with finding their way as they lack the required skill sets in their teams.

Apart from you helping them out after finishing this book, there are a few other resources these businesses can leverage to ease their journey to the cloud. For this, Microsoft has two frameworks in place:

  • Azure's Well-Architected Framework (WAF)
  • The Cloud Adoption Framework (CAF)

This chapter provides an overview of the WAF, curated for the cloud data architect. We will look at the pillars on which the framework is built and which parts are most relevant to a data architect.

Next, we will explore the concept of landing zones – more specifically, the data management landing zone and the accompanying...

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