Part 6/9:
The speaker emphasizes that data engineering encompasses much more than just number crunching. There is a significant emphasis on engineering—designing systems capable of identifying change points, detecting anomalies, and ensuring data integrity. Essentially, it involves building systems that view data from countless perspectives, proactively addressing quality issues, and adapting to changing data landscapes.