This book is intended for data solution architects, data engineers, and IT consultants/architects who want practical insights on designing modern data architecture implementations in Azure. In this book, you:

1. Learn about the fundamentals of data architecture, including data management, data handling ethics, data governance, and metadata management.

2. Analyze and understand the business needs to choose the best Azure services and to make informed business decisions.

3. Learn about Azure cloud data design patterns for relational and non-relational data, batch and real-time processing, ETL/ELT pipelines, and more.

4. Modernize your data architecture using Azure as a foundation to leverage data and using AI to enable digital transformation. You learn to secure and optimize overall data lifecycle management.

5. Understand the various data architecture frameworks and their best practices.

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See also

• Software Exorcism: A Handbook for Debugging and Optimizing Legacy Code by Bill Blunden (2003)
• Hormones and the Endocrine System: Textbook of Endocrinology by Bernhard Kleine (2016)
• Genetics: A Conceptual Approach 6e by Benjamin A. Pierce (2017)
• A Functional Approach to Java by Ben Weidig (2022)
• Calculus of variations and optimal control by Amol Sasan (2005)