The amount of time that elapses between the update of a record in the operational environment and the time that the update is reflected in the data warehouse
The granularity of the time dimension that is present in the data warehouse
The time it takes to populate the data warehouse from the data staging area
A 'wrinkle of time' refers to the latency delay between when data changes in operational systems and when those changes appear in the data warehouse. This lag can occur due to ETL batch windows, processing time, or intentional delays. It's a key data freshness metric.