Prologika Newsletter Summer 2026
If Microsoft Fabric was the Statue of Liberty, the inscription would be “Give me your data”. Fabric is obsessed with owning the data when it makes sense and when it […]
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But we are proud to say that Prologika - Teo Lachev contributed 1217 entries already.
If Microsoft Fabric was the Statue of Liberty, the inscription would be “Give me your data”. Fabric is obsessed with owning the data when it makes sense and when it […]
An excited enterprise client came back from a conference where Snowflake delighted them with AI demos and semantic views built on Open Semantic Interchange (OSI) standard. Snowflake even went further […]
If Microsoft Fabric was the Statue of Liberty, the inscription would be “Give me your data”. Fabric is obsessed with owning the data when it makes sense and when it […]
Atlanta BI fans, please join us in person for our next meeting on Monday, June 1st at 18:30 ET. Elayne Jones (Senior Solution Engineer at Microsoft) will show you how […]
In a previous post, I referred to an engagement where we used the Fabric Copy Job activity to replicate Google BigQuery tables to Fabric, so we can use Direct Lake […]
Atlanta BI fans, please join us in person for our next meeting on Monday, May 4th at 18:30 ET. Jackie Kiadii will show you how you use the Copilot capabilities […]
Coming back from a long vacation, I’ve almost missed this interesting Power BI enhancement: Power BI unmaterialized calculated columns. Normally, I avoid the traditional DAX calculated columns for a variety […]
At Ignite in November, 2025, Microsoft introduced Fabric IQ. I noted to go beyond the marketing hype and check if Fabric IQ makes any sense. The next thing I know, […]
I’ve mentioned previously in the “A Couple of Direct Lake Gotchas” post that unlike Power BI reports, Excel surprised me by not showing user-defined hierarchies in a Direct Lake model. […]
Atlanta BI fans, please join us in person for our next meeting on Monday, March 2nd at 18:30 ET. Shabnam Watson will show you how you can apply your SQL […]
