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Power BI Developers/Learning: post #209 — TG.ME

Power BI Developers/Learning@powerbidevelop · 1.3K subscribers Open in TelegramOpen

t.me/powerbidevelop/209

August 14, 2026 195

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Power BI is quietly becoming a developer platform. Most Power BI updates are about another visual, another formatting option, or another small improvement. But the August 2026 release feels different. Look at the direction: PBIP → Git → VS Code → Semantic Models → OneLake → Fabric That's not just a dashboarding workflow anymore. It's starting to look a lot more like software development. Power BI is moving from: “Build a report → Publish it” towards: “Develop → Version → Govern → Deploy → Scale” Features like Theme Pane going GA, improvements around semantic model refresh, and continued investment in PBIP + developer tooling are small pieces of a much bigger shift. The interesting question isn't: “What new features did Power BI get this month?” It's: “What is Microsoft trying to turn Power BI into?” I think we're going to see the answer more clearly over the next few releases. Power BI isn't just becoming better at making dashboards. It's becoming better at building BI products. 57·Aug 21

[media post] 129·Aug 17

[media post] 220·Aug 13 5 years ago, a good BI developer could survive by knowing Power BI really well I don’t think that’s enough anymore…. Not because Power BI is becoming less important. Because the BI ecosystem is becoming much bigger. Today, a strong BI developer should understand what happens beyond the report: 🔹 Data Engineering How data is ingested, transformed and stored. 🔹 Microsoft Fabric Lakehouse, Warehouse, Pipelines, Notebooks, Dataflows and more. 🔹 Semantic Modeling Not just creating relationships, but building a model that can actually answer business questions. 🔹 Data Governance Who owns the data? Can we trust it? Where did it come from? 🔹 AI & Copilot How do we make our data understandable and useful for AI? 🔹 Performance & Architecture Why is a report slow? Where should the transformation happen? Import, Direct Lake or DirectQuery? Power BI is still the tool but understanding the entire data journey is becoming the real skill. 243·Aug 11 Interview Highlights!! EY — Power BI Developer Technical Round (14 LPA) Panel: 2 Interviewers Duration: 55 Minutes Q1. How do you identify and fix a table scan that should be a seek? Q2. What is the difference between a heap and a clustered table in SQL Server? Q3. Explain CALCULATE with FILTER vs CALCULATE with a boolean condition directly — which is better and why? Q4. What is ALLNOBLANKROW, and when do you need it? Q5. Scenario: RLS needs to hide an entire table from one user role but show it to others. How do you do this without breaking their other reports? Q6. What is OneLake, and how is it different from a regular ADLS Gen2 container? Q7. Difference between a Fabric Lakehouse and a Fabric Warehouse — when do you pick each? Q8. Scenario: A dataset refresh succeeds but the report shows yesterday's numbers. Where do you check first? Q9. What is Direct Lake mode, and how is "framing" different from a traditional refresh? Q10. What is a bridge table, and when is it better than a direct many-to-many relationship? Q11. Explain ISFILTERED and ISCROSSFILTERED — how are they different? Q12. Scenario: A Direct Lake report suddenly starts showing "DirectQuery" in Performance Analyzer instead of Direct Lake. What caused the fallback? Q13. What causes "ambiguous relationship path" errors, and how do you resolve them? Q14. How does a Fabric capacity (F-SKU) get shared across Power BI, Lakehouse, and Data Factory workloads? Q15. How do you version-control a Power BI project (PBIP / Git integration)? Pc: Srinivasalu B V 190·Aug 11

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