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Power BI Guides & Tutorials
Master Power BI — DAX, Power Query, data modeling, dashboard design, deployment and the interview questions employers ask.
Power BI articles
Power BI Tooltips: Adding Context to Visuals
How to use the three kinds of Power BI tooltip to add context without clutter: tooltip fields and aggregations, sentence-format templates, drill actions in the footer, report page tooltips built and assigned step by step, how line charts and cross-highlighting affect them, accessibility limits, and design tips.
Power BI Service: Publishing, Sharing and Workspaces
How the Power BI service works after publishing: workspaces and the four roles, the licences that decide who can share and view, choosing between apps, sharing links and workspace access, why sharing a report shares its whole semantic model, the danger of Publish to web, and how refresh, security and deployment fit in.
Power BI Relationships: One-to-Many and Cardinality
How relationships work in Power BI: the cardinality types and how to check keys first, filter direction on a real database where a track list showed 3,503 or 190 tracks depending on the visual, why a measure usually beats bi-directional filtering, active and inactive relationships, and limited relationships.
Power BI Data Refresh: Scheduled and Incremental
Power BI data refresh explained: scheduled refresh limits and time-outs by capacity, gateways and connections, failure and inactivity notifications, incremental refresh with RangeStart and RangeEnd, how few rows it touches on real data, the boundary mistake that loaded 14,423 extra rows, and reliable refresh practices.
Power BI Dataflows Explained for Beginners
Power BI dataflows for beginners: what a dataflow is, why Microsoft calls Gen1 legacy and recommends Dataflow Gen2 where Fabric is available, the problems dataflows solve, from reusable preparation to protecting sources, when not to use one, how to create and refresh one, and design habits that keep them useful.
Power BI Performance Tuning: Make Reports Faster
A method for making Power BI reports faster: measure first with Performance Analyzer and read its DAX query, visual display and other timings, then shrink the import model, reduce column cardinality on a real retail dataset, write lighter DAX, filter and simplify pages, and check capacity and gateways.