AI engineering glossary · Data engineering
What is data freshness?
Data freshness (also called Data timeliness): How recently a dataset was updated relative to the real world, often measured as the delay between an event happening and it being available for use. Freshness targets are checked to keep reports current.
Data freshness: an example
A dashboard promises data no more than 30 minutes old, and an alert fires if the latest row is older than that.
Related terms
More Data engineering terms
Where you learn it
Data freshness is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.