Power BI in Microsoft 365 vs Microsoft Fabric: Architecture, Demo Flow, and When to Use What

"We already have Power BI — why pay for Fabric?" If your team keeps asking that, this episode draws the actual line between the two. The key reframe: it isn't Power BI vs Fabric — Fabric includes Power BI and adds the upstream lifecycle (ingestion, OneLake storage, transformation, lakehouse/warehouse, real-time analytics, data science). We walk an end-to-end Fabric flow from pipeline ingestion to a Power BI semantic model on top, all under one lineage and security model. The gotcha most teams hit: stitching Data Factory, Synapse, Databricks, and a separate data lake around Power BI creates tool sprawl, duplicated data, and multiple governance points — the exact problem OneLake's single-copy foundation is meant to remove. Useful when you're deciding licensing (per-user vs capacity) and whether your data is already prepared upstream or needs the full lifecycle across multiple personas. ⏱️ Chapters: 0:00 Intro 0:04 Power BI or Microsoft Fabric? 0:27 Power BI in Microsoft 365 0:54 What Power BI Delivers 1:19 The Limit of Power BI Alone 1:53 Microsoft Fabric Architecture 2:29 Demo Flow: Raw Data to Dashboard 2:59 Power BI vs Fabric 3:30 Pattern 1: Power BI Only 3:54 Pattern 2: Fabric End-to-End 4:21 The Decision Framework 4:51 Power BI and Fabric, Together Subscribe for more Azure data and analytics architecture breakdowns. Check the current Azure docs — cloud services change. #MicrosoftFabric #PowerBI #OneLake #DataEngineering #Azure