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Azure Data and AI Architect Handbook

You're reading from  Azure Data and AI Architect Handbook

Product type Book
Published in Jul 2023
Publisher Packt
ISBN-13 9781803234861
Pages 284 pages
Edition 1st Edition
Languages
Authors (2):
Olivier Mertens Olivier Mertens
Profile icon Olivier Mertens
Breght Van Baelen Breght Van Baelen
Profile icon Breght Van Baelen
View More author details

Table of Contents (18) Chapters

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

Summary

In this chapter, we zoomed in on two Microsoft frameworks, the WAF and part of the CAF.

We discussed the five pillars of the WAF. Although this framework is designed for all workloads, we curated the relevant principles for data and AI workloads. We explored design principles to optimize reliability, build airtight security, architect for cost-effectiveness, maximize operational excellence, and boost the performance efficiency of an Azure data solution.

Next, the concept of landing zones was introduced, as part of the CAF. After an introduction to some fundamental Azure concepts, such as subscriptions and resource groups, we examined both the data management landing zone and the data landing zone. Leveraging these landing zones is a great way to get started quickly with any data solution at scale on the Azure cloud.

In the next chapter, we will focus on data ingestion into the cloud.

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