Enhance Power BI with Advanced AI-Powered DAX Optimization and Performance Monitoring
Description I would like to suggest introducing advanced AI-powered DAX optimization and performance monitoring capabilities directly into Power BI. As Power BI solutions become more complex, developers often spend significant time identifying inefficient DAX measures, optimizing queries, troubleshooting slow visuals, and improving report performance. An AI-powered optimization assistant could help developers automatically identify performance bottlenecks, recommend optimized DAX expressions, detect unnecessary calculations, and suggest improvements to data models. Key Proposed Features AI-Powered DAX Optimization: Automatically analyze DAX measures and recommend optimized expressions. Performance Monitoring: Identify slow-running queries, visuals, and inefficient calculations. Smart Recommendations: Provide actionable suggestions to improve report performance. DAX Explanation: Explain complex DAX expressions in simple language. Automated Error Detection: Identify potential DAX errors and recommend corrections. Query Optimization: Recommend improvements for Power Query and data model performance. Performance Insights Dashboard: Provide a centralized view of report performance and optimization opportunities. Business Value These capabilities could significantly reduce development time, improve report responsiveness, simplify troubleshooting, and help Power BI developers build more scalable and efficient analytics solutions. Expected Impact This enhancement would benefit Power BI developers, data analysts, BI engineers, and organizations working with large and complex datasets. Bringing AI-powered DAX optimization and performance monitoring directly into Power BI would make analytics development smarter, faster, and more accessible.Enhance Microsoft Fabric Learning with Real-World Projects and Hands-On Practice
I would like to suggest introducing more hands-on learning resources, real-world projects, and practical exercises across Microsoft Fabric. It would be beneficial to have: More end-to-end Microsoft Fabric projects. Advanced SQL, PySpark, and Data Engineering challenges. Real-world Power BI and Direct Lake scenarios. More DP-600, DP-700, and DP-800 exam preparation resources. Interactive exercises with step-by-step solutions. Dedicated learning paths for beginners and experienced professionals. These improvements would help community members strengthen their practical skills, prepare for Microsoft certifications, and become industry-ready. Thank you to the Microsoft Fabric team for continuously improving the community and learning experience.
Run Dataflow Gen2 as Service Principal
It's not possible to run a Dataflow Gen2 as Service Principal. This is documented here: Background Jobs - Run On Demand Execute - REST API (Dataflow) | Microsoft Learn It would be great if it was possible to run Dataflow Gen2 as a Service Principal. The ability to run Dataflow Gen2 as Service Principal would enable: identity isolation between environments using dedicated service principals per dev/test/prod environments avoid reliance on user accounts users may leave the project, so we want to avoid reliance on user accounts📉 How Would You Investigate a 20% Drop in Revenue?
A data analyst shouldn’t stop at identifying what happened. The real questions are: Where did the decline occur? → Why did it happen? → What caused it? → What should we do next? By analyzing regions, products, customers, time periods, and key business metrics, raw data can reveal the root cause behind the numbers. Good data analysis turns numbers into decisions. 📊 #DataAnalysis #BusinessIntelligence #PowerBI #MicrosoftFabric #DataAnalytics
AI-Powered Backend Builder for Microsoft Fabric
Microsoft Fabric could include an AI-powered backend builder that helps developers create secure and scalable application backends with simple commands. It should automatically generate configurations, apply security best practices, and support easy deployment. This would save development time, reduce manual work, and make backend creation easier for both beginners and experienced developers.Improve Apache Airflow Job Monitoring in Microsoft Fabric Data Factory
Hello Microsoft Fabric Team, I would like to suggest improving Apache Airflow Job support in Microsoft Fabric Data Factory. Many users run multiple Airflow jobs every day, but it is difficult to monitor them and quickly identify failures. Better monitoring features would improve productivity and reduce troubleshooting time. Suggested improvements: Show the live status of every Airflow job. Display job start time, end time, and total duration. Show clear error messages when a job fails. Allow users to retry failed jobs with one click. Add email or Microsoft Teams notifications for failed jobs. Improve search and filtering options. Display execution logs in a simple and readable format. Show CPU and memory usage for each job. Allow exporting job history to CSV. Provide basic performance recommendations for slow jobs. Benefits: Faster troubleshooting. Better visibility into Airflow jobs. Improved pipeline management. Reduced manual work. Better productivity for data engineers. Better overall user experience. I hope Microsoft Fabric considers adding these improvements in a future update. Thank you for your time and for continuously improving the platformAI-Powered Data Insights in Power BI
I would like to suggest adding AI-powered data insights directly within Power BI to help users uncover trends, anomalies, and key takeaways faster. Key benefits: • Auto-generate insights and summaries using AI. • Detect anomalies and outliers in visuals. • Natural language explanations for charts and reports. • Save time and improve data-driven decision making. This feature will make Power BI even more powerful and user-friendly for all users.Power BI Apps - Enhance Remove Report Feature from App
There should be a single option to remove reports from App at "Setup" Section itself that should automatically remove audience all together with the deleted report. Currently, it is complex to remove an existing report from Power BI App. First you have to deal with removing Audiences and then remove report from "Content" section. Many a times I get an error and it would not let me remove report from App. Lets try to make this "Delete/Remove Report" form the Power BI App, should be hassel free.
