Fabric Business Events: what delivery guarantees and replay pattern should we design for?
Hi all, I am testing the newer Business Events capability in Fabric Real-Time Intelligence and trying to understand what reliability assumptions should be made for a production design. The pattern I am looking at is roughly: Eventstream → Business Event → Activator → downstream action / User Data Function with Eventhouse enabled so the published business events are also retained for historical analysis. The current documentation explains the publisher/consumer model and shows how Eventstream can publish a governed business event that Activator then consumes. What I have not been able to find clearly documented is the delivery contract between the published business event and its consumers. A few things I am trying to clarify: If an Activator consumer or downstream action is temporarily unavailable, does Fabric retry delivery of the business event? Should consumers assume at-least-once delivery and therefore be designed to handle duplicate events, or is a different delivery model used? Is event ordering guaranteed in any scope, for example for events from the same Eventstream publisher? Since published business events can also be retained automatically in Eventhouse, is that retained history intended to support replay/reprocessing after a consumer outage, or is it primarily an analytical record and replay would need to be implemented separately? Are there documented retry or delivery-retention windows that should be considered when designing an operational workflow? I am mainly trying to understand what a resilient production pattern should look like when the business event triggers something with side effects, where processing the same event twice or silently missing an event would matter. Would you generally make the downstream consumer idempotent and treat Eventhouse as an audit/recovery store, or is there a more Fabric-native pattern for this? Interested to hear how others are approaching this with Business Events and Activator.
Dataverse Data (Preview) feature in Fabric RTI Error
I am trying to test the new Dataverse Data (Preview) feature for streaming data from Dataverse to Fabric. After using the preview option for source data from Dataverse, I can also choose a table and events such as Create, Update, Delete to track. However, when everyting is finished I get this error: " MessageFailed to create data source: dataverse due to the following error: E0179001: Cannot connect to Kafka. Please check your configuration. Details E0179001: Cannot connect to Kafka. Please check your configuration. " What is the resolution for this? Is this new preview feeature functional?
Error in Microsoft Applied Skills: Implement a Real-Time Intelligence Assessment Lab : Need help
Hello All, since a week I was stuck on one error in Microsoft Applied Skills: Implement a Real-Time Intelligence solution with Microsoft Fabric Lab. Did anyone face the same issue if so, can anyone help me out how to resolve it. Attaching the error and related images below. Error: It says " unable to load container blobs. Verify that workspace identity is enabled and has storage blob data reader access to the storage account" . I am familiar with this permission and have enabled it in my own azure environment for my own blob that I have created but since these are pre created by Microsoft, I don't have access to these storage blobs and hence I am not sure how to proceed here. I have attempted this twice but I was stuck at the same point. I really appreciate your help and taking time in looking into my post. Thank you so much.
Not Able to create a Connection between Fabric EventStream and Azure Event Hub.
Working on a real-time data pipeline using 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗙𝗮𝗯𝗿𝗶𝗰 𝗘𝘃𝗲𝗻𝘁𝘀𝘁𝗿𝗲𝗮𝗺 and 𝗔𝘇𝘂𝗿𝗲 𝗘𝘃𝗲𝗻𝘁 𝗛𝘂𝗯, and I ran into an issue I’m hoping the community might have seen before. While trying to create a new Azure Event Hub connection inside Fabric Eventstream, the connection configuration panel appears completely 𝗯𝗹𝗮𝗻𝗸, so I’m unable to enter the required details like the connection string or namespace. 𝗧𝗵𝗶𝗻𝗴𝘀 𝗜’𝘃𝗲 𝗮𝗹𝗿𝗲𝗮𝗱𝘆 𝘁𝗿𝗶𝗲𝗱: • Refreshing the browser and clearing cache. • Using different browsers (Edge, Chrome). • Logging out and back into Fabric. Still facing the same issue. Has anyone encountered this while integrating Fabric Eventstream with Azure Event Hub? Any suggestions or configuration checks I should try? Appreciate any insights from the community
Azure Maps base layer not loading in Real-Time Dashboard - Only points visible
Hi Fabric Community, I'm experiencing an issue with Map visualizations in Real-Time Dashboards. The data points are rendering correctly, but the Azure Maps base layer (streets, terrain, satellite) is not loading - only a white/blank background appears. **Environment:** - Microsoft Fabric Real-Time Intelligence - Real-Time Dashboard with KQL queries - Eventhouse as data source - Browser: Chrome/Edge (tested both) - Region: South Central US **Steps to reproduce:** 1. Create a KQL query with latitude/longitude columns 2. Add to Real-Time Dashboard 3. Change visual type to "Map" 4. Configure: Latitude column, Longitude column, Label column 5. Points appear but no map background **What I see:** - Colored circles representing my 10 GPS devices - Correct relative positions between points - Zoom controls (+/-) present but don't show map tiles - "Center" button works for positioning **What I expected:** - Azure Maps base layer with streets/roads visible behind the points **Troubleshooting attempted:** - Tried different browsers (Chrome, Edge) - Cleared browser cache - Verified coordinates are correct (Mexico City area: 19.5, -99.3) - Checked browser console - no obvious errors **Questions:** 1. Is there a known issue with Azure Maps in Real-Time Dashboards? 2. Are there specific tenant/admin settings required for Azure Maps? 3. Is this a preview limitation? Screenshots attached showing points without map background. Thank you for any guidance!
