XMLA writing support for Direct Lake datasets

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One of the most anticipated Power BI additions for August is the new experience for finding and connecting data in Dataflow, Dataflow Gen 2, and Datamart. Today, users spend a lot of time searching for the right data, connection information, and credentials. With this new Get Data feature, it becomes easier to explore different Fabric artifacts across the OneLake data center. It improves the experience by speeding up this process and helping you find the data you need in the fastest and easiest way.

Lakehouses (connector update)
This update includes important performance improvements to the Lakehouses connector. Be sure to upgrade to the August release of Power BI Desktop and Gateway to experience these improvements.

Service
Direct Lake datasets now support XMLA write operations. This hong kong telegram data means you can use your favorite BI Pro tools and scripts to manage and create Direct Lake datasets.

Whether you prefer to use SQL Server Management Studio (SSMS), Tabular Editor, Dax Studio, or another tool, you can connect to your Direct Lake datasets through XMLA endpoints and perform operations such as deploy, customize, merge, script, debug, and test. You can also use tools such as Azure DevOps or GitHub to implement source control, version control, and continuous integration for your data models.

You can automate and streamline your development and deployment processes by using PowerShell or REST APIs to perform tasks such as updating or applying changes to your Direct Lake datasets.