Fundamentals of Data Engineering

What it is about

Joe Reis and Matt Housley map the data engineering lifecycle from generation and ingestion through storage, transformation, serving, governance, security, orchestration, and operations. They emphasize architecture as a sequence of trade-offs shaped by people, organizational maturity, cost, and the needs of downstream users. I keep it on this shelf because I want to work with AI without confusing speed for understanding.

Why I keep it

The pipes. Everything I make with AI runs through them, so I should know how they leak.

Key ideas

Beside it on the shelf · AI & Technology