Expert Data Modeling with Power BI

Most Power BI resources focus on visualizations and reports; Expert Data Modeling with Power BI goes deeper, addressing the layer that determines whether those reports actually perform well, return correct results, and scale reliably as data volumes and user demands grow. Soheil Bakhshi covers the full range of data modeling decisions inside Power BI — star schema design, relationship management, calculated columns versus measures, DAX optimization, and the specific modeling patterns that Power BI’s engine handles most efficiently. The emphasis throughout is on understanding why certain approaches work better than others, not just which settings to click, which gives readers the conceptual grounding to make good modeling decisions in new situations rather than just replicating the book’s specific examples. At 698 pages, the depth is genuine and substantial, making this a resource that rewards careful, attentive work rather than a quick read. The book is best suited to BI developers and analysts who already have some Power BI experience and want to move from competent user to someone who genuinely understands the modeling layer and can optimize it deliberately. For Power BI practitioners who want their reports to actually perform, this delivers the kind of modeling depth that most platform documentation and introductory resources never reach.

Author:
Soheil Bakhshi