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Showing posts from October, 2024

Announcing the retirement of real-time streaming in Power BI

Today, we are announcing that we will be retiring real-time streaming in Power BI. This impacts organizations and users who use these capabilities today to stream data and update dashboards in real time. This blog outlines the changes, the timelines for deprecations and recommended alternatives. What is changing for real-time streaming in Power BI? Date What happens Beginning October 31 st , 2024 Creation of new real time semantic models  will no longer be supported Includes Push semantic model, Streaming semantic model, PubNub streaming semantic model, Streaming data tile Beginning October 31 st , 2027 Existing real-time semantic models  will be retired and no longer supported We are working with existing customers on migration,  this date is subject to change What should you use instead for new real-time  streaming scenarios? We recommend users explore  real-time intelligence in Microsoft Fabric  which will provide you a greater, more comprehensive experience to support both your bus

Live edit of Direct Lake models in Power BI Desktop

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Direct Lake  speeds up data-driven decisions by unlocking incredible performance directly against OneLake while ensuring maximum data reusability across Fabric. Last month, we announced a major update for developers working on Direct Lake models:  Live editing of Power BI semantic models in Direct Lake mode.  Now, you can use Power BI Desktop to edit Direct Lake semantic models, improving your data modeling experience and allowing export to Power BI Project (PBIP) for professional development workflows. With live edit every modification is applied to the semantic model in the workspace, ensuring a seamless and efficient workflow. Get started Start by enabling the preview feature, go to  File  >  Options and settings  >  Options  >  Preview features  and check the box next to “ Live edit of Power BI semantic models in Direct Lake mode ” Once the preview feature is enabled, restart Power BI Desktop, open  OneLake datahub : Then, choose the Direct Lake semantic model you want to