Guides to Power BI, Fabric and Azure.

Build a Fabric pipeline that loads a file daily, feeds a Direct Lake report with no refresh step, and shows every failed run. Tested on a trial.

Power BI Pro is $14/user/month; Tableau Creator is $75/user/month, billed yearly. Power BI wins on cost and governance, Tableau on visual exploration.

How to make Power BI reports fast, layer by layer: query folding, star schema, relationships, DAX, report design and capacity, with the order to work in.

Relationships and cardinality decide how filters flow between Power BI tables. A wrong one is a common cause of slow reports. How to design them for speed.

Star schema usually performs better than snowflake in Power BI. Why, when a snowflake is acceptable, and how to flatten one with Power Query.

Find the slow measure with Performance Analyzer, confirm it in DAX Studio, then fix the usual causes: per-row measure calls, FILTER, repeats and the model.

Why Power BI reports slow down, usually the data model and DAX rather than hardware, and a step by step framework to find and fix the real bottleneck.

DAX is the formula language behind Power BI measures. An overview of context, CALCULATE, variables, time intelligence and ranking, linking to each deep dive.

RANKX ranks items by a measure and updates as filters change. The syntax, how ties are handled, and when to use ALL versus ALLSELECTED, with DAX examples.