For example, data monitoring would issue an alert if a value falls outside an expected range, data hasn’t updated as expected, or 100 million rows suddenly turn into 1 million. Monitoring issues alerts based on pre-defined problems, … before you can set up monitoring for a data ecosystem, you need visibility into all of those data assets and attributes — that’s where data observability comes in.