We have some very exciting news to share with you today! We are thrilled to announce that we have just launched the public preview of Direct Lake mode for Power BI datasets in Fabric! Fabric is taking a bold bet on open data formats in OneLake.
» 閱讀更多 Exclusive opportunity for Women interested in Power BI, led by female trainers in select countries. Register for a free, hands-on workshop where you will learn how to build a Dashboard in a Day! Learn more here – https://aka.ms/DIAD4Women
» 閱讀更多 Welcome to the September 2023 update. We’ve got some updates to editing you data models, row -level security, and a reminder to update your .NET Framework version for Desktop!
» 閱讀更多 We’re excited to announce that we’ve reached the final milestone in our dataset scale-out public preview journey! We started the preview without auto-sync and with single read-only replica per dataset. A few months ago, we introduced auto-sync, and now Power BI can create as many read-only replicas as your Power BI capacity supports. Dataset scale-out is no longer limited to a single read-only replica per dataset.
» 閱讀更多 We are thrilled to announce that we have made some significant performance improvements to the XMLA-endpoint communication in Power BI. Specifically, we have switched XMLA-based communication from plain text XML to binary XML and enabled compression for the .NET client libraries. Make sure you upgrade to version 19.61.1.4 or later to benefit from this improvement.
» 閱讀更多 We are excited to announce that we have finalized Dataset Scale-Out configuration APIs and completed the replica synchronization feature. Specifically, you no longer need to enable Scale-Out at the workspace level by using a burdensome XMLA request. The XMLA command is deprecated and will no longer work. You can now enable Scale-Out on a dataset-by-dataset basis using the Power BI REST API for datasets. You also no longer need to synchronize read-only replicas manually if you want to take advantage of automatic replica synchronization. Automatic replica synchronization is enabled by default. However, it is also possible to disable automatic synchronization to synchronize the read/write and read-only replicas of a dataset manually for controlled refresh isolation.
» 閱讀更多 We are pleased to announce the public preview of a Power BI Desktop Developer Mode, which offers a new save option to your Power BI developers that unblock source control and CI/CD best practices
» 閱讀更多 Introducing a Game-Changing Update to the Power BI and Jupyter Notebook Library: Create Compelling Power BI Reports Directly in Your Notebook!
» 閱讀更多 We are pleased to announce the public preview of a new Tabular Model Definition Language (TMDL), which offers a human-readable, editable, and collaborative format for Tabular Models.
» 閱讀更多 The new feature of Deployment pipelines, Change review, completes the missing piece of the Compare action, by allowing you to review the schema of a changed item while its changed lines are highlighted. Check it out!
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