We are pleased to say that we have a new version of Tabular Editor 3 ready for you. This month, we have expanded our support for DirectLake datasets so that it is now possible to create them from scratch. Moreover, the latest DAX and TMDL features are now supported.
If you just can’t wait, do head on over to downloads to get the release.
The standout addition this release is the ability to create Fabric Direct Lake datasets.
We have expanded our support for Fabric DirectLake datasets so that you can now create them from scratch inside Tabular Editor 3, using your Fabric Lakehouse as the data source. This gives you more flexibility and control over your data model design, and allows you to deploy your dataset to the Power BI service with just a few clicks.
To get started simply right click in the TOM Explorer and select Import Tables, choose “Fabric OneLake (DirectLake)” as your data source and create your DirectLake datasets with ease and speed. Check out the below video for a quick introduction or read our DirectLake blogpost to get a step by step guide.
Currently, there is a limitation in that DirectLake datasets created or modified through the XMLA endpoint, can no longer be opened in the Web Modelling feature of Fabric.
We’ve made a few minor improvements as well in the September release.
The newest Power BI release includes new parameters for the MINX/MAXX functions. We have naturally ensured that our DAX editor supports these along with providing proper suggestions for the MATCHBY function.
The import table wizard for Databricks now supports using native queries. The prerequisite for enabling native queries is that a default catalog has been specified when configuring the Databricks connection.
With the latest version of AMO/TOM the newest TMDL preview is now also applied in Tabular Editor 3.
We have made multiple bug fixes in 3.11.0; please see our release notes for full details.
We have improved the DAX Debugger experience. Thanks to your feedback, we have fixed several issues that prevented the DAX Debugger from working in some scenarios. Now you can use the DAX Debugger to inspect and troubleshoot your DAX expressions more easily and reliably.
If you have any feedback or experience any bugs please reach out in our community forum. We look forward to hearing from you!
That's the September 2023 release: the big one is creating Direct Lake datasets from scratch in Tabular Editor, plus DAX function updates, Databricks native queries, the latest TMDL preview, and a steadier DAX Debugger. Grab 3.11.0, and as always, let us know what you think.