Timesten - Automatic data aging

About

Data aging is an operation to remove data that is no longer needed.

Type

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))

Examples

  • 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


Powered by ComboStrap