Show Notes
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DAX Patterns: Second Edition by Marco Russo and Alberto Ferrari is a technical reference and problem-solving guide for people building analytical models in Microsoft Power BI, Analysis Services Tabular, and Power Pivot for Excel. Rather than presenting DAX as a language to be learned only through isolated functions, the book organizes common business-intelligence requirements into reusable calculation patterns. Its purpose is practical: help model authors recognize a familiar analytical problem, understand the modeling and filter-context issues behind it, and adapt a tested solution to their own data model. The second edition covers patterns for several forms of time intelligence, comparisons across periods, semi-additive measures, cumulative totals, segmentation, customer analysis, ranking, hierarchies, currency conversion, budgets, and other recurring reporting tasks. Russo and Ferrari write from extensive DAX and data-modeling practice, so the book is best understood as a companion for implementing robust measures rather than as a beginner-level introduction to Power BI. It emphasizes repeatable design decisions and the conditions under which calculations produce meaningful results.