Atlanta Microsoft BI Group Meeting on December 2nd (Semantic Modeling as Code)
Atlanta BI fans, please join us online for our next meeting on Monday, December 2nd at 5PM ET (please note the change to our usual meeting time to accommodate the […]
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Atlanta BI fans, please join us online for our next meeting on Monday, December 2nd at 5PM ET (please note the change to our usual meeting time to accommodate the […]
I like SQL Server temporal tables for implementing ODS-style tables and change data tracking (CDS) for three main reasons: SQL Server maintains the system versioning. By contrast, I have witnessed […]
Atlanta BI fans, please join us in person for our next meeting on Monday, November 4th at 6:30 PM ET. Stacey Jones (Principal Data & AI Cross-Solution Architect at Microsoft) […]
Role-playing dimensions are a popular business requirement but yet challenging to implement in Power BI (and Tabular) due to a long-standing limitation that two tables can’t be joined multiple times […]
When it comes to Generative AI and Large Language Models (LLMs), most people fall into two categories. The first is alarmists. These people are concerned about the negative connotations of […]
Do you know that without human intervention the Generative AI responses would be too toxic after training the model from the garbage on Internet? Do you know that OpenAI hired […]
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 […]
