

#1561
Mentioned in 27 episodes
Fundamentals of Data Engineering
Book • 2022
Mentioned by











Mentioned in 27 episodes
Recommended by 

for its application-based approach to data engineering.


Colleen Fotsch

49 snips
861: From Pro Athlete to Data Engineer: Colleen Fotsch’s Inspiring Journey
Recommended by ![undefined]()

as a helpful resource for understanding high-level data engineering concepts.

Avery Smith

24 snips
168: Stop Doing Random Data Courses - Read These Books Instead
Mentioned by ![undefined]()

as a book they co-authored to provide a fundamental treatment of data engineering.

Joe Reis

22 snips
222: The Future of Data Modeling: Breaking Free from Tables with Best-Selling Author, Joe Reis of Ternary Data
Mentioned by ![undefined]()

as a relevant resource for understanding data management strategies.

Ole Olesen-Bagneux

22 snips
Ole Olesen-Bagneux: Understanding Enterprise Metadata with the Meta Grid – Episode 28
Mentioned by ![undefined]()

when discussing the evolution of the data engineering life cycle and the impact of AI.

Joe Reis

18 snips
Freestyle Fridays - Shifting Left AND Right. The Data Engineering Lifecycle in 2025. What's Changed?
Mentioned by 

as the author of the book.


Hugo Bowne-Anderson

17 snips
Episode 41: Beyond Prompt Engineering: Can AI Learn to Set Its Own Goals?
Mentioned by ![undefined]()

as a well-known book written by the guests.

Joe Reis

17 snips
Joe Reis and Matt Housley on the fundamentals of data engineering
Mentioned by 

as previous guests on the podcast.


Benjamin Wagner

16 snips
Zach Wilson on what makes a great data engineer
Mentioned by ![undefined]()

as a fantastic primer for data engineering and analytics engineering.

Joe Reis

13 snips
Freestyle Fridays - The Skills Gap in Data
Recommended by ![undefined]()

as the best and most comprehensive book on data engineering, focusing on fundamentals and not specific technologies.

Sean Falconer

12 snips
The Real Work of Data Engineering with Joe Reis


