Skip to main content

Feature Details

Content Author Info

Created By Nathan Clouse
Created On 2023-07-16
Updated By Nathan Clouse
Update On 2023-08-05

Keeping a large volume of historical data in your day-to-day working environment not only results in increased storage costs, but also impacts system performance and usability. This feature provides the archival framework to perform rules-based archiving of historical data. The archived records are removed from your day-to-day working environment and stored in your Dataverse managed data lake, thereby improving system performance and lowering operating costs while keeping your historical records available as read-only data for when you need them.