Has anyone achieved this outside of the connector which seems to be only available in power bi desktop. I want to configure a copy activity to pull data into my lake house about current work items etc.

I feel like this should be easier than it seems. I’m trying to build an api call in a fabric pipeline. I have a lake house with a delta table that has a column of ID fields. Id like to iterate over each one and use the value to build an api call (one api call for each value). I’m struggling with outputting the value to the next activity, I’m trying mssparkutils and lookup activity but I can’t seem to get it. Any ideas?

Learning Fabric is a marathon, not a sprint. So let's celebrate the small wins we make along the journey. Share any recent wins you've had with Fabric in the comments below! Perhaps this week you: - successfully shortcuted into Amazon S3? - built a Snowflake mirrored database? - learnt some new data modeling techniques? - build your first eventstream to process real-time data? LET'S HEAR ABOUT IT!

Scenario- multiple companies submitting sensitive data into main companies data store once a day. Each company must be able to access their own submissions but no-one else's. There should be an easy to maintain onboarding model and strict RBAC policies. Once the data is ingested, there should be only one copy. Go…

Hey everyone, happy Monday! I'm currently planning out future content for the YouTube channel, and want to always produce the content that is most relevant/helpful to you! So, some questions: - What are your biggest pain points currently with Fabric? - Anything you're struggling to understand? - Things you think are important, but don't quite grasp yet? It's this kind of engagement that led to the Power BI -> Fabric series, and then the DP-600 series, so I thought I'd open it up to you again! Look forward to hearing from you - thank you! Here's some potential things: - Delta file format - integrating AI/ ML/ Azure AI / Open AI - copilot - Git integration / deployment pipelines / CI/CD - data modelling / implementing SCDs - medallion implementation - more advanced pyspark stuff - data pipelines - metadata driven workflows - dataflows (and optimising dataflows) - lakehouse achitectures - real-time - data science projects - semantic link - migrating semantic models - using python to manage semantic models - administration/ automation - fabric api - other...?