As data volumes grow exponentially, Power BI customers demand AI-driven analytical solutions that scale to petabytes, are secure, governed, and easy to manage. Power BI semantic models, backed by Microsoft Fabric, are the foundation for user-friendly BI solutions, bridging the gap between business users and IT by enabling trusted ad-hoc analysis. Consequently, Power BI semantic … Continue reading “Power BI semantic models as accelerators for AI-enabled consumption”
» Подробнее We are thrilled to announce the release of a new Fabric REST API for configuring connection bindings for semantic models. A connection binding defines what data connection a semantic model will use to connect to an underlying data source.
» Подробнее 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.
» Подробнее 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.
» Подробнее 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.
» Подробнее 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.
» Подробнее 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.
» Подробнее 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.
» Подробнее 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.
» Подробнее 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.
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