If you're looking to understand more about the real-time intelligence experience in Fabric - this video offers a good introduction from Brian Bønk https://www.youtube.com/watch?v=YpPFpjrCbXE Are any of you building real-time use cases? Would love to hear more!

Hi Fabric Community, If you're interested in exchanging ideas about real-time data, welcome! I've been grappling with real-time analysis for the past few days and am hoping someone might be working on similar issues or can share best practices. Goal: Store and transform streaming data in a way that allows display on an embedded Power BI Dashboard. Since this is intended for a B2B SaaS solution, it adds a layer of complexity. Currently, I see two main challenges. First, the event stream contains deeply nested JSON with varying arrays, and the transformation possibilities within the event stream are very limited. I'm unsure if KQL update policies would suffice. Ideally, I would need to integrate other data sources at this stage as well. Second, I aim to create a single dashboard for both real-time and historic data, but I can't think of an effective way to integrate multiple data storages. I don't want to end up with separate dashboards, such as one KQL-based for recent data and another for transformed and stored historic data. Please feel free to start a discussion on any of these topics. I'd love to exchange approaches and ideas. Honestly, there may be better tools available to solve this issue.

Welcome to all new members, here's some links and information to help you get started! 𝗤𝘂𝗶𝗰𝗸 𝗟𝗶𝗻𝗸𝘀 𝘁𝗼 𝗴𝗲𝘁 𝘀𝘁𝗮𝗿𝘁𝗲𝗱 - For an introduction to this community → Explore the Welcome Pack - New-ish to Fabric? → Check out our Fabric Foundation module - Studying for the DP-600? → Check out the DP-600 Module and the DP-600 category - Studying for the DP-700? → Check out the DP-700 Module and the DP-700 category - Want to get hands-on? → Check out Fabric Dojo 𝗛𝗼𝘄 𝘁𝗼 𝗲𝗻𝗴𝗮𝗴𝗲 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆? - Share your knowledge and experience! Even if you're relatively new to Fabric, or the community, your opinion and experiences are valued here! A great way to earn your first point(s) is to introduce yourself in the thread below 👇😀 Thank you for engaging and joining us on this exciting learning journey! 🙏 Will