Data aging is an operation to remove data that is no longer needed.
There are two general types of data aging:
- Time-based data aging based on timestamp values (removing old data based on some time value)
- Usage-based data aging based on the LRU algorithm (removing data that has been least recently used (LRU))
- removing yesterday's price list,
- removing profiles and preferences of users who have logged out from the system,
- or removing detailed records that are more than 2 days old.
Documentation / Reference
- “Implementing aging in a cache group” in Oracle In-Memory Database Cache User's Guide.