Data Over Time

A couple of quick observations following my events and temporal coupling post.

Events, current data, and aggregated data all have time-to-live aspects:

• Events value usually diminishes over time until the TTL reaches
.
• Current data usually have a constant value while their TTL lasts (until a new value is the current data) -- unless we are talking about version data which is a component of or a step in the direction of aggregated data.
• Aggregated data has the longest TTL, it is interesting to note that its value increases over time.

Also while the current data TTL is determined by the producer, both events and aggregated data TTLs are determined by consumers.

Okay, I know these are not not earth shattering observations, but they're still interesting.

Posted by Arnon Rotem-Gal-Oz at 08:28 AM  Permalink