
Azure Data and AI Architect Handbook
Adopt a structured approach to designing data and AI solutions at scale on Microsoft Azure
Created by Breght Van Baelen, Olivier Mertens
Gain practical skills to design scalable data and AI solutions using Microsoft Azure. Explore how to bring together data engineering, science, warehousing, and governance into robust cloud architectures. Build a strong foundation for creating enterprise-ready platforms that meet modern business needs.
Packt | Jul 2023 | 284 min
What You Will Learn
You will explore each core component of a modern data platform, from data ingestion and processing to storage and analytics. Concepts are mapped directly to Azure services, helping you understand both the big picture and the practical steps needed to build and manage enterprise-scale solutions. Real-world scenarios reinforce your understanding throughout.
Key Features
- Learn to architect end-to-end data platforms using Azure services effectively
- Integrate AI and machine learning into data solutions for advanced analytics
- Apply best practices for security, governance, and compliance in cloud data environments
Target Audience
Ideal for data engineers, data scientists, business intelligence developers, and database administrators ready to move into architecture roles. If you have a working knowledge of databases or data engineering and want to design complete cloud data solutions, you will benefit from the skills and insights provided here.





