Happy Friday everyone! I just released a new video describing my view on Analytics Engineering, the four areas that I think are most important, and how that might be different from what you learnt from the DP-600 exam. Take a look, would love to hear your thoughts: 👉🔗 https://youtu.be/of0Q8diezZQ Enjoy your weekend!

Does anyone have comments on experiences using Databricks vs fabric. Is this an ‘or’ decision or can it be an ‘and’ possibility?

half a year ago, Fabric was only able to shortcut to ADLS gen2(ABFSS) but not to Azure Blob Storage (WASBS), is it still the same? has anyone got experience on this? Thanks guys.

Hi guys, Has anyone got any insight for this question? Semantic model can automatically update Direct lake table which is based on data in Onelake, but does it also work on Shortcut's?

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...?