The book emphasizes that data engineering isn't just about the lifecycle stages; it also requires managing six "undercurrents" that run through every project:
Evaluating trade-offs and designing for agility and scalability. Orchestration: Scheduling and managing complex workflows. Fundamentals of Data Engineering by Joe Reis PDF
Delivering data for analytics, machine learning, and business intelligence. The Six "Undercurrents" The book emphasizes that data engineering isn't just