As I mentioned in my Power BI and Fabric Capacities: Thinking Outside the Box, memory limits of Fabric capacities could be rather restrictive for large semantic models with imported data. […]
Here is table that is getting more and more difficult to find as searching for Fabric capacity limits returns results about CU compute units (for the most part meaningless in […]
Atlanta BI fans, please join us in person for the next meeting on Monday, September 3th at 6:30 PM ET. Your humble correspondent will show you how to use Large […]
I’m conducting an assessment for a client facing memory pressure in Power BI Premium. You know these pesky out of memory issues when refreshing a biggish dataset. They started with […]
Atlanta BI fans, please join us in person for the next meeting on Monday, August 5th at 6:30 PM ET. Elayne Jones and Matt Kim (Solutions Architects at Coca-Cola) will […]
This post summarizes my research around the increasingly popular RAG apps, and it’s meant more as an internal memo to myself to summarize existing findings should one day a suitable […]
In my previous post, I covered how large language models, such as ChatGPT, can be used to convert natural queries to SQL. Let’s now see how Text2DAX fairs. But wait, […]
As inspired by Kevin Jordain, who clued me about the increased demand for using natural questions to analyze client’s data, John Kerski, who did a great presentation to our Atlanta […]
Atlanta BI fans, please join us in person for the next meeting on Monday, July 1st at 6:30 PM ET. John Kerski (Microsoft MVP) will shows us how to integrate […]
I’ve written in the past about the dangers of blindly following “modern” data architectures (see the “Are you modern yet?” and “Data Lakehouse: The Good, the Bad, and the Ugly”) […]
