How can AI agents improve Microsoft Fabric Data Factory pipeline automation?
I am exploring how AI agents can help make data pipeline development and monitoring more efficient in Microsoft Fabric Data Factory. Some potential use cases: Automatically creating pipeline workflows based on business requirements Detecting pipeline failures and suggesting fixes Optimizing data movement and transformation steps Monitoring data quality and identifying anomalies Triggering automated actions through APIs or external tools I would like to understand how teams are currently combining AI agents with Fabric Data Factory. Are you using: AI-assisted pipeline generation? Automated error analysis and recovery workflows? Fabric notebooks with AI models for data operations? Custom agents connected with Data Factory pipelines? Would appreciate insights, real-world examples, or architecture patterns from developers working with Fabric Data Factory automation.
Refresh Semantic Model - Table Dynamic Content
I've set up dynamic content inside of a Refresh Semantic Model activity inside of a data pipeline. So far I've dynamically set the Workspace Id and the Semantic Model but I've previously left the table line blank. The pipeline would refresh properly until now and the only way it seems to run even with static Workspace Id and Semantic Model values is if I specify the tables. For the static values I can wait for the drop down menu to load and select all but when I use dynamic content in Workspace and Semantic Model ID, the table names won't load and I can only input dynamic content. How do I write in the tables through dynamic content. I've tried the following based off the JSON file: {"table": "TableName"} TableName table:TableName [{"table": "TableName"}] TableName1, TableName2 Editing the JSON file directly by copying and pasting how a non-dynamic content inputted Workspace and Semantic model ID has the table names set up How do I dynamically write in multiple tables for the dynamic content? Is there a way to specify select all when I write in dynamic content?
Issues configuring a pipeline in Fabric to obtain the email list of a security group
Hi community, I am working with a pipeline in Fabric to obtain the email list of the members of a security group. I have already configured the necessary web activities to obtain the token, generated through a service principal. This token is used in a "get_emails" activity to get the email list. However, this "get_emails" activity requires creating a connection using the URL of the security group, but it doesn't work. Could you help me identify the problem and suggest solutions to correctly configure the connection? im using this URL to get de list --> https://graph.microsoft.com/v1.0/groups/GroupID/members This is the settings section for the "get_emails" activitie
