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Thrilled to join the Microsoft Fabric Café community!
As someone passionate about technology and its transformative power, I'm excited to connect with fellow professionals who are leveraging Microsoft Fabric to revolutionize data analytics and business intelligence. Ready to: - Learn from industry experts and real-world implementations - Share insights on data-driven solutions and best practices - Network with like-minded professionals in the analytics space - Stay ahead of the latest Fabric innovations and features The future of unified data platforms is here, and I'm excited to be part of this journey with all of you!Welcome Message!
Hi Everyone, This is Nishan, and I'm super excited after joining this tech community, which is a wonderful moment. I'm really enthusiastic about joining in this MSFT Fabric Community. This feels really great and exciting. I am expecting more insightful information, live sessions, and more real-time engagement with the community of the Fabric. It's really an amazing moment for Microsoft Learn, especially for MSFT Fabric Learners. I am also excited to connect with more learners, peers, MVPs, and MCTs. I wanted to amplify Mehrdad Abdollahi’s exciting announcement about the https://lnkd.in/gA_juRqt! As a longtime follower of this initiative, here’s why this shift matters and how we can all leverage it: 🔍 Key Insights from the Transition Global Accessibility Moving from Teams Learning Rooms to the Tech Community breaks down geographical barriers. Now, anyone can join discussions, access resources, and connect with experts and no scheduling required! Centralized Knowledge Hub The new space aggregates blogs, discussions, event updates, and expert insights in one place. Say goodbye to fragmented information! Community-Led Growth By empowering users to share experiences (not just consume content), Microsoft taps into collective intelligence. Your challenges/solutions could shape Fabric’s evolution! 💡 What You Can Learn & Do Here For Newcomers: Dive into curated KB articles/tutorials to master Fabric basics. Ask questions without fear—MVPs and Microsoft engineers are active here! For Experts: Share use cases (e.g., "How I optimized data pipelines with Fabric"). Mentor others and build your reputation as a thought leader. For Everyone: Pro Tip: Bookmark the https://lnkd.in/gA_juRqt for AMAs, workshops, and Fabric roadmap sessions. Contribute to discussions—your feedback reaches Microsoft product teams directly! 🚀 Future Engagement Strategies Be Proactive Start threads like "Fabric’s hidden gems" or "Migrating from Synapse? Let’s troubleshoot!" to spark collaboration. Leverage Cross-Pollination Tap into #PowerBI, #DataEngineering, and #DataAnalytics channels here. Many solutions intersect! Give Back Answer one question weekly. Recognition = visibility (MVPs often emerge from active contributors!). Stay Updated Click “Follow” on the https://lnkd.in/gA_juRqt to get alerts on new content/events. ✨ Final Thought: This move isn’t just a relocation and it’s an expansion of opportunity. As Mehrdad said, we’re shaping Fabric’s future "one conversation, one insight at a time." Let’s build something remarkable together! 👉 Join the Café now: https://lnkd.in/gA_juRqt #MicrosoftFabric #TechCommunity #DataEngineering #PowerBI #CommunityDriven #MicrosoftLearn[RECORDING] - Optimising Primavera P6 Reporting with Power BI” with Juliana Smith
🎥 Session Recording Now Available! Couldn’t make it to the live session at https://www.linkedin.com/company/102768826/admin/page-posts/published/?share=true#? You can now watch the full recording of “Optimising Primavera P6 Reporting with Power BI” with https://www.linkedin.com/company/102768826/admin/page-posts/published/?share=true#. In this session, https://www.linkedin.com/company/102768826/admin/page-posts/published/?share=true# shares how to: 🔹 Connect Power BI to Primavera P6 🔹 Transform and visualise P6 data effectively 🔹 Build insightful reports like S-Curves 👉 Watch the recording here: https://youtube.com/live/115X2s27aFE?feature=share Subscribe to our channel for all past + upcoming sessions! #MicrosoftFabric #FabricCafe #PowerBI #ProjectManagement #DataCommunity #MicrosoftLearn 👤 Hosted by https://www.linkedin.com/company/102768826/admin/page-posts/published/?share=true# ☕[RECORDING] – From Stream to Screen: Real-Time Intelligence in Microsoft Fabric
🎥 Vahid Doustimajd – From Stream to Screen: Real-Time Intelligence in Microsoft Fabric Couldn’t attend live? The full recording is now available! In this session, Vahid Doustimajd demonstrated how to build an end-to-end real-time analytics solution in Microsoft Fabric — from ingestion all the way to visualization. Highlights: 🔹 Streaming data with Eventstream 🔹 Transforming & storing data in KQL DB and Lakehouse 🔹 Using Data Activator for alerts & triggers 🔹 Real-time dashboards in Power BI 👉 Watch here: https://www.youtube.com/live/lqi1YjkAIRE?si=IE5JbqqqXSX7wn__ Subscribe for past & upcoming sessions! #MicrosoftFabric #FabricCafe #RealTimeAnalytics #PowerBI #DataEngineering #MicrosoftLearn 👤 Hosted by Mehrdad Abdollahi ☕
Taking Microsoft Fabric from POC to Production: Real World Lessons Learned
Hi everyone, I wanted to share some practical lessons learned from a real-world Microsoft Fabric implementation where we transitioned from an initial proof-of-concept to a fully operational, production-grade analytics platform supporting reporting and advanced analytics use cases. Architecture decisions early on made a significant difference. Defining a clear Medallion structure (Bronze, Silver, Gold) upfront helped set expectations around data quality, ownership, and consumption patterns. In practice, we found that being disciplined about what belongs in each layer reduced downstream rework and simplified troubleshooting as data volumes and use cases grew. Performance optimization was an ongoing process rather than a one-time task. As usage expanded, we had to iteratively tune ingestion patterns, storage layout, and semantic models especially when leveraging Direct Lake for reporting. Understanding query patterns, refresh strategies, and model design trade-offs was critical to maintaining consistent performance at scale. Governance proved essential for adoption. Implementing access controls, lineage, and certified datasets early helped build trust with business users and avoided the perception of Fabric as “just another data lake.” Clear ownership and metadata standards made it easier for teams to confidently self-serve analytics without compromising data integrity. Operational readiness often gets underestimated. Beyond building pipelines, we had to focus on monitoring, cost visibility, deployment practices, and support processes to ensure the platform could be sustained in production. Treating Fabric as an enterprise platform rather than a POC environment was a key mindset shift. I’m interested to hear from others in the community who have taken Microsoft Fabric into production. Have you encountered similar challenges around architecture, performance, governance, or operations? What approaches worked well for you, and what lessons would you share with teams starting their Fabric journey? Looking forward to learning from the community’s experiences.
