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2025.11

· 2 min read

This release adds on-demand data refresh in Zap Live, tabular model support for analytics, and incremental override conditions for calculated SQL columns, while also improving the UI for calculated members and resource validation.

Data Hub enhancements

Improved calculated member options

The calculated member design options have been moved to the Home design panel, providing a cleaner interface. This also allows access to the full range of number formatting options, including unit formatting and red negatives.

Calculated member Home design panel

Resource validation refresh

We've refreshed the resource validation interface to improve usability, allowing you to easily identify and resolve issues within your resources.

Resource validation view

Zap Live enhancements

On-demand refresh from Zap Live

On-demand refresh is now available in Zap Live. This allows you to pull the latest data from within Excel for the current report. As with on-demand refresh inside Data Hub, this is only available for reports built with supported pipelines. See Refreshing report data from source for more information.

On-demand from Zap Live

Modeling enhancements

Incremental override condition

You can now specify an Incremental override condition for calculated SQL columns. When the condition is met, the Zap_Timestamp column will be updated so that the row is always included in Warehouse Incremental Load (Add & Update). This is useful in situations when the calculation logic conditionally includes non-deterministic functions like GETDATE(), which would otherwise not be detected by the incremental load system.

Analytics enhancements

Tabular analytics

Analytics can now be built against tabular models. Just select the tabular server and model in the connection section of the query panel to begin. See Tabular analytics for more information.

Tabular analytic connection

Deprecated functionality

Legacy warehouse servers

Removed support for Microsoft SQL Server warehouses older than 2016 CU1.

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Performance Enhancements

Every release contains performance enhancements and bug fixes to improve Data Hub.