@Will Needham , if version history is only for edits on the web, than this is not very interesting in my opinion.

@Antony Catella , I ve just search what is Power Bi Dataviz World Champs. It this new ? I did not find info when it starts or the rules to follow. Sounds really exciting! I might give it a try for fun 😀 are you participating ?

Write back to Fabric Databases with brand new Power Bi native visuals

@Antony Catella, I'm not entirely sure. In some cases, Power Apps might be a better solution I think, due to the flexibility it offers, and doesn't require starting with a SQL database. However, even if it is more restrictive, the idea of having everything integrated directly within Power BI is undeniably appealing. For the complexity of those functions, I do not know what to say... Regardless, it's exciting to see the trend toward deeper Power BI integrations, it brings more flexibility and value to the tool. That said, this flexibility inevitably comes at a cost, particularly in terms of governance and security. This feature is bound to spark significant debate. It will interesting to see where this goes!

This caught my eye as well! Improved perf with no extra costs

Multiple apps per workspace is now possible in PBI apparently. Much more flexibility. We are expecting this for à long time

I just watched the video, and it resonated with me quite a bit. I appreciate the arguments you made about why we should adopt a broader perspective and leverage the benefits of a data platform over just Power BI—such as having more robust systems, CI/CD capabilities, data validation approach, and step-by-step testing to ensure data quality. I would even add the performance aspect, the facility of debugging, and the quite easy "upgrade" from PBI to Fabric (same capacity, just couple of settings to enable from tenant settings). However, I don’t fully agree that Power BI is not/should not be part of the core knowledge for an analytics engineer on Fabric. Removing Power BI from the equation essentially means eliminating the modeling aspect, which involves creating reusable analytics models. I do not think that someone without good PBI knowledge should be in charge of building gold layers. Power BI professionals usually have the best understanding of what data consumers need, what transformations need to be pushed upstream from PBI desktop. I believe the boundaries between roles are no longer as distinct. Like a relay race, the success of a Fabric implementation relies, in my view, on a strong collaboration between "Data Engineers on Fabric" and "Power BI Engineers" on the front end. There’s a saying that "no wind is favorable if you don’t know your destination." Power BI provides direction, understands business needs, it is the visible part of the iceberg. It finally distill what is essential in the data. But this is my perspective, coming essentially from a business and Power BI background.