How to notice your data pipeline died before someone tells you

Why a dead pipeline raises no errors, how to measure freshness per column rather than per row, and why the failure always makes your efficiency metrics look better.

The failure that raises no error: the row arrives fresh and the column comes back empty. Why the distortion always improves your metrics, a case we measured this week, and the three checks that catch it.

Category: Analytics

The failure that produces nothing

A fresh row with a stale column

The distortion goes in the flattering direction

A case we measured this week

The three checks that catch it

And the part we got wrong

FAQ