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

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

If you’re already familiar with Power BI  and Power Automate , you know how powerful it is when these two tools work together. But one of the most game-changing triggers  in Power Automate is: 👉 “Run a query against a dataset” This trigger lets you execute DAX queries (Data Analysis Expressions)  directly against your Power BI dataset from a flow. That means you can extract aggregated results, row-level values, or KPIs in real time — and then use that information to trigger

Microsoft Power BI Desktop  contains a rich set of modelling and reporting features, yet many power users enhance their workflow with external tools . These tools attach to the Analysis Services instance behind a PBIX/Power BI semantic model and allow advanced editing, scripting, performance analysis and automation. The External Tools  ribbon lists all registered tools, and Microsoft warns that these are produced by independent developers; editing metadata outside Power BI De

Introduction Building effective Power BI reports is not just about loading data and creating visuals—it’s about structuring your data model correctly. Relationships are at the heart of that structure. In this post, we’ll explore what relationships in Power BI are, why they matter, how to create and manage them, and some advanced tricks to avoid common pitfalls. Understanding Relationships in Power BI Relationships define how tables connect with each other. Without them, your

If you're a moderately experienced Power BI user, you’ve likely encountered the CALCULATE  function in DAX (Data Analysis Expressions)....

Goal:  a fast, self-updating Power BI report that tracks earthquakes in the European–Mediterranean region (with a global table for comparison), highlights activity hotspots, and surfaces clean KPIs for decision-making. Scope: Earthquakes in the European-Mediterranean region with magnitude 4.5 or greater within the last 720 days or the last 2 years. Source: ETH Zürich - Swiss Seismological Service (HTML daily data): http://www.seismo.ethz.ch/en/earthquakes/europe/last90daysMa

Power BI is a powerful business intelligence tool. The DAX (Data Analysis Expressions) language allows users to create custom...

Power BI's secret sauce is DAX (Data Analysis Expressions)  – a formula language that lets you create dynamic calculations and advanced...