![]() ![]() ![]() You can see more info by visiting Jeffrey Wang‘s blog about the new functions. Release 3.6.0 includes full support for the the new functions and syntax in the DAX editor code completion. Moreover, the ORDERBY function has a new syntax allowing the use of any scalar value for the expression parameters, and a new set of keywords for the order-by parameter. ![]() In the April 2023 update of Power BI Desktop the new functions RANK and ROWNUMBER were announced. If you need to connect to Databricks in an Analysis Services model or using Provider or Structured data sources (see the differences here), you will need to use ODBC as usual. The Databricks connector is only available for Implicit data sources, which is why you’ll only see it on Power BI Datasets. We hope you like this new native connector, please let us know if you find it useful or find areas that needs improvement. With the Server hostname and HTTP path in hand, it’s time to start up Tabular Editor 3 and connect to your Databricks instance (in this example Azure Databricks, but it supports all flavors): To prepare, you’ll need the connection details of the SQL endpoint from your Databricks instance: To import/refresh table metadata, you must open or create a Power BI Dataset and then use the Import tables or Update table schema wizards with an Implicit data source. You will need to install the Simba Spark ODBC driver on your development machine. You can now connect natively to Databricks and import/refresh table metadata, when working on a Power BI Dataset from inside TE3. Tabular Model Definition Language (TMDL) New features Support for connecting and importing tables from Databricks.Default compatibility level for Power BI Models.Support for connecting and importing tables from Databricks. ![]()
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