Preface

With data quickly becoming an essential asset of any business, the need for cloud data and AI architects has never been higher. The Azure Data and AI Architect Handbook will assist any data professional or academic who is looking to advance their skill set in cloud data platform design. This book will help you understand all the individual components of an end-to-end data architecture and how to piece them together into a scalable and robust solution.

The book introduces core data architecture design concepts and Azure data and AI services. Cloud landing zones and best practices are explained to build up an enterprise-scale data platform from scratch. Next, you will get a deep dive into various data domains, such as data engineering, business intelligence, data science, and data governance. You’ll learn about various methods for ingesting data into the cloud, designing the right data warehousing solution, managing large-scale data transformations, extracting valuable insights, and how to leverage cloud computing and (generative) AI to drive advanced analytical workloads. Finally, you will discover how to add data governance, compliance, and security to a solution.

By the end of this book, you will have gained the necessary expertise to become a well-rounded Azure data and AI architect.