I have been a data professional for over thirty years, starting with Informix SE on an ICL CLAN4 mini computer.

Since then, through many technological leaps and changes in tools available, I thought it time to brush up on all aspects of Data Engineering.

I knew what it meant to me, but I was curious what it meant to the industry, and how it ties in with non-technical areas, such as project management and costing.

After reading this book, it is one mighty beast. But it is tackalable if understood from a high level at first.

This is a non-technical book, for example it doesn't centre on Azure or Google Cloud Platform or AWS. It is generic 

It shows a comprehensive view of data engineering and the practices surrounding the profession. It is written in logical chapters which show an overview to start with, then delve into detail.

It is concise, and "cuts through the marketing hype" to understand data technologies, architecture and processes.

It also includes data governance and security which are a big part of data engineering.

If you are interested in data engineering, either as a hobby or as a profession, I recommend this book as an introduction to data engineering.