Data architecture - Concept
Data observability
Watching data as it moves and changes so problems can be spotted quickly
What's it for?
Warns teams when important data is late, missing or unexpectedly wrong.
For example…
An alert warns when overnight sales data arrives late or incomplete
Data observability raises an alert when a normally hourly sales table has not refreshed for six hours, before users report a stale dashboard
Think of it like…
Smoke detectors for your data estate: chirp early, not after the whole floor is smoky