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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

Concepts

Authors (2):

Olivier Mertens

Breght Van Baelen

View More author details

Table of Contents (18) Chapters

Preface

1. Part 1: Introduction to Azure Data Architect

2. Chapter 1: Introduction to Data Architectures

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

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17. Other Books You May Enjoy

Choosing the right storage solution on Azure

Now that we’ve reviewed various storage concepts, let’s examine the Azure storage options available to the cloud solution architect and how they correspond to OLTP, OLAP, and NoSQL.

Azure OLTP services

For OLTP scenarios, we will discuss the following:

SQL Server on Azure virtual machines
Azure SQL Managed Instance
Azure SQL Database

Briefly put, choosing an OLTP service on Azure comes down to deciding on the right SQL option. The level of manageability is a key difference between options, with SQL Server on virtual machines being an Infrastructure-as-a-Service (IaaS) solution, while Azure SQL Managed Instance and Azure SQL Database come as Platform-as-a-Service (PaaS) solutions. The differences are captured in Figure 5.4:

Figure 5.4 – The difference in the level of management between the three cloud-based SQL options

Figure 5.4 – The difference in the level of management between the three cloud-based SQL options

As with any IaaS versus PaaS situation, it...

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Authors (2)

Olivier Mertens

Olivier Mertens is a cloud solution architect for Azure data and AI at Microsoft, based in Dublin, Ireland. In this role, he assisted organizations in designing their enterprise-scale data platforms and analytical workloads. Next to his role as an architect, Olivier leads the technical AI expertise for Microsoft EMEA in the corporate market. This includes leading knowledge sharing and internal upskilling, as well as solving highly complex or strategic customer AI cases. Before his time at Microsoft, he worked as a data scientist at a Microsoft partner in Belgium. Olivier is a lecturer for generative AI and AI solution architectures, a keynote speaker for AI, and holds a master's degree in information management, a postgraduate degree as an AI business architect, and a bachelor's degree in business management.

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Breght Van Baelen

Breght Van Baelen is a Microsoft employee based in Dublin, Ireland, and works as a cloud solution architect for the data and AI pillar in Azure. He provides guidance to organizations building large-scale analytical platforms and data solutions. In addition, Breght was chosen as an advanced cloud expert for Power BI and is responsible for providing technical expertise in Europe, the Middle East, and Africa. Before his time at Microsoft, he worked as a data consultant at Microsoft Gold Partners in Belgium. Breght led a team of eight data and AI consultants as a data science lead. Breght holds a master's degree in computer science from KU Leuven, specializing in AI. He also holds a bachelor's degree in computer science from the University of Hasselt.

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