Fundamentals of Data Engineering

The authors outstandingly accomplish their goal here.

Data engineering is covered in all its aspects: history, philosophy, and current/previous best practices.

My favorite part of this book is that everything is framed through the lens of business. Data engineering exists to provide business value and the authors here keep reminding of this and urging not to under or over engineer data products.

The pragmatic tone really serves to assist in critical thinking about data projects and identifying the best ways to approach them. Perfection, or even creating a good data product can be hard but this book gives you the tools to approach projects with the right mindset.