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.

It's not a bad book but just not the book I needed to read.
For me it was somewhat too lengthy and at the same time to shallow. I think that's the case because it tries to provide you with a general understanding of all the stuff relating to data engineering while staying tool-agnostic. This might be more useful for a manager position or someone who just wants to be able to talk about data engineering but less useful for practitioners.