Hey everyone, the third Fabric Q&A call recording has been published here. Thanks to everyone that attended!!

Marco Russo (who knows a thing or two about Power BI!) from SQLBI released this article recently about Direct Lake and Import mode. I would say I agree with a lot of what he mentioned; his views echoed the views that I have shared in this community and in my videos: just because Direct Lake is available to you now, doesn't mean you should use it in all scenarios! Just thought I'd send this reminder as it might impact your architectural decisions (and now my opinion has a bit more strength of conviction behind it, knowing that Marco Russo somewhat agrees 😊)

Hey everyone! This community is growing FAST. It would be great for any new members to introduce yourselves so that we can get to know each other... to understand your goals so that we can offer good support in your Fabric learning journey 🙌 So if you haven't already, please introduce yourself, with the aid of the following questions: 1. Which part of the world are you signing in from? 2. What's your current role? And your dream role in say 5 years time? 3. What attracted you to this community? 4. What excites you most about Fabric? 5. I'm really interested in learning more about _______ ? 6. Are you looking to get Fabric certified (DP-600)? Thank you for engaging and joining us on this exciting learning journey! 🙏 Will

So one of the announcements Microsoft was to the (much talked about) speed of getting data using a Dataflow; they added Fast Copy. Now, under the hood, I believe it leverages the same technology that Data PIpelines use (a lot quicker). There are a few limitations however: - You can't do much transformation on your data, so you can Extract and Load to a Lakehouse. Then transform it from there, or you can stage it to a Staging Lakehouse if you need to do more transformation. - Only .csv and .parquet files are supported (for getting file data) - you need to be ingesting 1M+ rows if using Azure SQL db Other important points to note: For Azure SQL database and PostgeSQL as a source, any transformation that can fold into a native query is supported. Let me know how you get on with this feature and whether it speeds up your Dataflow get data routines!