A study of 67 AI models finds enterprises underestimate multi-model failure rates by 2.25x, and offers a free test to check ...

Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.

Power Query and Power Pivot help Excel users manage large datasets more efficiently. Power Query focuses on cleaning and preparing data, while Power Pivot handles analysis and reporting. Together, ...

One very common cause of Power BI performance problems is having a table with a large number of rows on your report. It’s a problem I wrote about here, and while I used an Import mode for my example ...

Every data engineering team right now is being asked the same question: "How do we build a chatbot that talks to our data?" The prototypes are deceptively simple. A developer connects GPT-5.1 to a ...

Following on from my post two weeks ago about how to get the details of Power BI operations seen in the Capacity Metrics App using the OperationId column on the Timepoint Detail page, I thought it was ...

When we think about human intelligence, memory is one of the first things that comes to mind. It’s what enables us to learn from our experiences, adapt to new situations, and make more informed ...

Even after 50 years, Structured Query Language, or SQL, remains the native tongue for those who speak data. It’s had impressive staying power since it was first coined the Structured Query English ...

Structured Query Language, or SQL, is used to analyze large datasets. Today’s best SQL courses offer hands-on training for mastering database management. Structured Query Language, or SQL, is the ...

This is the official repository for the paper "E-SQL: Direct Schema Linking via Question Enrichment in Text-to-SQL". Translating natural language queries into SQL (Text-to-SQL) is a critical task for ...