⭐⭐⭐⭐½ (4.7/5) — The modern canonical text on data engineering.
Joe Reis brings over 20 years of experience in the data industry to the book. He describes himself as a "business-minded data nerd" and a "recovering data scientist," a nod to his background in statistical modeling and machine learning before fully embracing data engineering. He is the CEO and co-founder of Ternary Data, a data engineering and architecture consulting firm. Beyond his professional work, he is a prolific educator, teaching at the University of Utah, and a popular podcaster, co-hosting "The Monday Morning Data Chat".
Would you like a chapter-by-chapter reading guide, key terminology list, or sample practice questions based on the book’s content? Fundamentals of Data Engineering by Joe Reis PDF
Undercurrents Across the Data Engineering LifecycleSecurityData. WithUndercurrents and Their Impact on Source SystemsSecurityData O'Reilly books Fundamentals of Data Engineering with Joe Reis 12 Mar 2023 —
It was a typical Monday morning for Joe Reis, a seasoned data professional with years of experience in the industry. As he sipped his coffee, he couldn't help but think about the rapidly evolving landscape of data management. The amount of data being generated every day was staggering, and companies were struggling to make sense of it all. This sparked an idea - to write a book that would lay the foundation for a new generation of data engineers. ⭐⭐⭐⭐½ (4
: Operationalizing data by sending it back into business apps (e.g., CRM tools). Undercurrents of Data Engineering
: OLTP systems like PostgreSQL or MySQL. He is the CEO and co-founder of Ternary
Why this matters: It forces you to consider all stages, not just the pipeline. For example, many failures come from misunderstanding source systems (Generation) or forgetting that serving data for a dashboard is different from serving for an ML model.
Data has become the most valuable asset for modern organizations. However, raw data is like crude oil—it must be refined, pipeline-managed, and structured before it delivers any real business value.
The choice of where to store data (S3 vs. Snowflake) dictates your architectural options. 5. Is This Book Still Relevant in 2026?