Hi All, anyone dabbled with dataverse to fabric integration? Any gotchas that I would need to be wary of ?

Quick question for the group: How are your data engineers positioned within the business? In our proposed model, IT is responsible for extracting and landing source data into Bronze (raw/delta) in a Fabric Lakehouse, while data engineers sit closer to the business and own Silver and Gold transformations, including semantic/analytical modelling. Keen to hear how others have structured this in practice and what’s worked (or not).

Post your burning question about Fabric in this thread below 👇 will try to answer as many as we can!

Hey community! Are you using the Variable Library in Fabric?! I'm doing some research for a future YouTube video, and it would be great to open up a bit of a discussion around how you're using them so far, considering they are now Generally Available! What use cases are you using them for? Any tips to share about how you set them up? Or perhaps you're using the REST API endpoints for variable libraries for more advanced use cases? Any experience, big or small, would be useful to know about - so please share below! 👇👇👇

Hi all, I'm running into an intermittent issue of notebooks failing to run. The error that crops us is: InvalidHttpRequestToLivy: [TooManyRequestsForCapacity] This spark job can't be run because you have hit a spark compute or API rate limit. To run this spark job, cancel an active Spark job through the Monitoring hub, choose a larger capacity SKU, or try again later. HTTP status code: 430 {Learn more} HTTP status code: 430. This error will come and go randomly without any input from me. I'm really only testing notebooks on a small scale so I'm not certain how it could be a capacity issue. Any help in figuring this out would be greatly appreciated 🙂