Fundamentals of Data Engineering
Plan and Build Robust Data Systems

I have mixed feelings about this book. At some places, it structures the subject of data engineering, providing high level information. But at the same time, I felt it repeated a lot its subjects, and never really got into more detailed architectures or information. I get that talking about implemen......more

It’s surprisingly shallow for a book of that size, so I definitely can’t recommend it to engineers that already have some experience of working with data pipelines. It might be somewhat useful for data scientists though, but I can’t speak about that audience. Sometimes people read “tech” books to le......more

As a data scientist who is increasingly having to dip his toes into the Data Engineering waters, this book has been an invaluable resource. It is very clearly laid out following the prototypical "Data Engineering Lifecycle" and its undercurrents. Ingestion, storage, transformation, serving, cloud ec......more

This book covers data engineering from a high level: its lifecycle, undercurrents, technologies, and best practices. With some effort, I've read the book front-to-back in the shortest time possible. As a newbie DE coming from DS, I empathised with the authors, who had a similar background. The book i......more

This is an interesting book for engineers who have none or a bit of knowledge on the topic. It will cover the fundamentals and give you a good base to explore the field further. That said, the book is a bit too repetitive. Some sections could be simplified and page count trimmed. Despite understandin......more