How Do You Ensure Accuracy When Handling Large Data Sets?

Handling millions (sometimes billions) of rows has become part of my daily life, but ensuring accuracy at that scale is tough. Between ingestion issues, transformations, and analysis, things can easily slip through the cracks.

What are your best practices for maintaining accuracy in really large data sets?
Do you rely more on automation, manual checks, statistical validation… or a mix?