What is Dataverse Long Term Data Retention?
Currently in Public Preview (Q1 2024), Dataverse Long Term Data Retention allows your organisation to archive data to long term storage. But what exactly does this mean?
This means that you can achieve a number of goals:
- Reduce your overall Dataverse Database Capacity (more on this later)
- Have more control over data that will only primarily be used for auditing or occasional read-only access. It is designed as an interim stage between having live data, and deleted data. Microsoft calls this ‘retained data’.
- The ability to query retained data on demand.
- Build long term retention policies that will work within your ALM, meaning that you can define as a solution layer and carry your long term retention policies between your higher environments.
Note, that this feature should only be enabled in non-production environments for testing purposes at this stage (see Known Issues).
How do I set up Long Term Data Retention?