You can use Power BI Desktop to live edit Direct Lake semantic models, improving your data modeling experience and allowing export to Power BI Project (PBIP) for professional development workflows.
» 阅读更多内容We recently made a significant update to the Direct Lake documentation. Direct Lake accelerates time to data-driven decisions by unlocking incredible performance directly against OneLake, without the need to manage costly, time-consuming data refreshes for large volumes of data in OneLake.
» 阅读更多内容Explore the latest features of the ALM Toolkit! Our new update adds coloring support for TMDL, allowing you to view tabular model metadata in a user-friendly, YAML-like syntax. Enhance your Power BI experience and manage your semantic models with ease by adopting the ALM Toolkit into your workflow.
» 阅读更多内容Datasets are being renamed to semantic models in Power BI and Fabric. This will make the product clearer and more usable and reflects the immense progress that Power BI datasets have made in becoming an enterprise-grade semantic modeling technology. The semantic model name will help drive awareness of the unparalleled capabilities provided.
» 阅读更多内容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.
» 阅读更多内容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.
» 阅读更多内容In December 2020, we launched the preview of DirectQuery for Power BI Datasets and Analysis Services. Since then, we have worked with many of you to improve on this feature and get it ready for general availability. Today we are announcing that this feature has reached general availability.
» 阅读更多内容We are excited to announce significant query processing improvements in the Power BI engine around query parallelization in DirectQuery mode, which can help to accelerate query response times, specifically for DAX and MDX expressions that generate multiple storage engine (SE) queries.
» 阅读更多内容Thanks to the latest backup and restore improvements, you can now restore a backup file even when the dataset size is near the Power BI Premium SKU limitation. You no longer need to be concerned that dataset size limits impact restorability. When restoring a dataset with the /forceRestore option, Power BI will try its best to perform the restore operation even when the available memory is limited.
» 阅读更多内容Today, we are excited to announce the public preview of Power BI Dataset Scale-Out, a dataset feature enabling enterprise customers to support large-scale Power BI solutions without any additional administrative overhead or infrastructure complexity.
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