Ive had this issue on an off for a while and cant figure it out, ive tried using: df.write.format("delta").mode.("overwrite").save("File/path") and I get the result in the Screen shot. When I use .SaveAsTable, I get an error. cant figure it out! Surely writing as a delta either works or it doesnt, I still get a delta log and a parquet, but its like its not recognised?? has anyone come across this and know more from the error response? bonus question, where do you go for diagnosing errors? thanks!

I have a notebook that outputs I would like it to be the outputs to go a table that I can leverage in a powerbi model have anyone done that in fabric that can give me some tips ?

After a failed virtual attempt I went the in person route and got a different result! but the good news is im part of the DP-600 crew. thanks again for all the support Will and community! 🦄 Fabricorn!

Hello, I´ve been going through the learning path on the MS learning for the certification. It was going quite nicely until in the last part I realized the path actually assumes I know something about PowerBI. The thing is, I really don´t know about it much and did not realize this when starting out. I have some experience of Tableau so I´m not completely beginner with BI tools. What level of knowledge should I have to comfortably to be able to pass e.g. the DAX questions? Do you have some suggestions for e.g. MS learn modules that suites this purpose? Considering getting the PL-300 cert at some point but I´m focusing on my data transformation and modeling skills for now (and my Fabric trial is running) so not going to go through process yet.

Our current strategy is to use Databricks as a 'data engine' bringing relevant data in to Databricks before short cutting it to Fabric (Bronze) for subsequent processing and consumption. My question is there a way to orchestrate the start Fabric data pipeline after Databricks job of moving the raw data to bronze finishes. It might seem a little unconventional to use Databricks to extract the data initially but that is direction we have adopted, any guidance on how we might trigger the pipeline (in Fabric) after the Databricks extraction would be much appreciated.