This final part shows how validated changes are promoted across environments using Fabric Deployment Pipelines and Azure DevOps orchestration. It covers environment-specific configuration, semantic model binding, and automated RLS as part of a fully governed release process.
This article shows how Continuous Integration works for Power BI in Microsoft Fabric. By using Git as the single source of truth and automating Update-from-Git operations, approved changes are continuously integrated into a controlled workspace, ready for promotion.
Microsoft Fabric capacity trials are limited, tenant-scoped, and easy to misuse. This article explains why trials disappear, how tenant governance works, and what options end users and administrators really have to access Fabric safely.
This article explains the two infrastructure scopes—Azure PaaS and Fabric SaaS—why they differ, and how to provision them safely using Infrastructure as Code.
This end-to-end demo shows how to run Power BI as a fully automated CI/CD workload in Microsoft Fabric, using Azure DevOps, service principals, and deployment pipelines.
Introduction Sometimes the most interesting discoveries come from helping others. You see, couple of weeks back I started to contribute to the Fabric Community, in the Fabric Platform forums I came across this question ... "I created a personal Azure account with Hotmail.com and added a Fabric Administrator user,
Two years, 60+ technical articles, 9 in-depth series; I’m beyond grateful for everyone who’s read, shared, or supported my work, thank you.
In the final lab of the Real-Time Intelligence series, you’ll build the Gold layer using materialized views and create a real-time dashboard powered by live KQL queries. Learn how to turn streaming data into instantly actionable insights with dynamic visuals that auto-refresh.
Learn how to build the Silver layer of your Medallion architecture and keep it updated automatically using Update Policies, then configure real‑time alerts with Activator to detect operational issues in bike stations as they happen
Learn how to enrich your real-time streaming data with external dimension tables, organize your KQL tables with folders, and perform KQL joins to create insights by region—laying the foundation for Silver & Gold layers in the Medallion Architecture.
Learn how to handle a continuous stream of real-time data in Microsoft Fabric. In this lab, you’ll create an Eventstream, apply transformations, route data to a KQL database, and explore streaming insights using KQL queries.
Set up your Fabric real-time workspace by creating an Eventhouse, renaming your KQL database, and exploring the Real-Time Hub and workload tools. This lab establishes the foundation for streaming analytics in the Fabrikam Bikes scenario