Introduction Ever wondered what happens behind the scenes when you drag a visual into Power BI? That’s DAX queries  at work. While most users write DAX formulas  to calculate measures or columns, DAX queries  go one level deeper — they let you directly query your model, test logic, and debug calculations.In this post, we’ll break down what DAX queries are, how they work, their structure, examples, pitfalls, and best practices — plus a few pro tricks to level up your Power BI

Overview When you connect Power Query / Power BI to a SharePoint site (or document library), there are (at least) two common M-functions you may see or use: SharePoint.Files(siteUrl as text, optional options as record) as table SharePoint.Contents(siteUrl as text, optional options as record) as table Although they sound similar, their behavior, performance, metadata returned, and navigation experience differ. Understanding their differences helps in building more robust and p

Hook:  If your model “mysteriously” changes numbers, breaks relationships, or sorts months alphabetically—blame data types. What we’ll cover:  where to define types (and why), the safest order of operations across the ETL chain, Power Query vs. Model vs. Table View, special cases (DirectQuery, currency, duration), and concrete, copy-paste examples. 1) Why data types matter (and where they live) Power Query (PQ):  Data shaping stage. Types here affect folding, transformations