2026.1
This release introduces history table compaction to reduce warehouse size, and improved dimension tree filtering that lets you filter dimensions and measures by multiple modules for easier navigation of your data model.
Modeling enhancements
Compacting history
Last release, we added an option to delete old data from history steps. This release features another option that will remove every historical revision per record for each time period, except for the last.
Use this option to shrink history tables with excessive data movement while preserving periodic data, retaining only the latest record for each period.
Analytics enhancements
Improved dimension tree module filtering
Dimension tree filtering has been improved, making it easier to focus on specific areas of your data model. When a model contains modules, you can filter the dimension tree to show only the dimensions and measures relevant to one or many selected modules.
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Performance Enhancements
Every release contains performance enhancements and bug fixes to improve Data Hub.