Advanced Power BI modeling playbook
Fatolu Peter showcased advanced Power BI modeling techniques—star schema design and DAX performance optimizations—positioning developer skills as the bridge to senior analyst responsibilities. (x.com)
Fatolu Peter publishes a Power BI portfolio on GitHub that includes SQL and AI data-analytics projects and industry case studies, showing active project work on dashboards and data pipelines. (github.com) His YouTube channel "Fatolu Peter (Emperor Analytics)" hosts Power BI tutorials and project walkthroughs and lists roughly 985 subscribers, establishing a public teaching footprint for his modeling techniques. (youtube.com) Microsoft’s official guidance states a star schema improves semantic-model performance and usability in Power BI by separating a narrow fact table from descriptive dimension tables to optimize query paths. (learn.microsoft.com) SQLBI and other Power BI authorities explicitly link star schemas to correct aggregation results and simpler DAX—avoiding common errors such as incorrect totals that arise from flattened or denormalized tables. (sqlbi.com) Microsoft’s Power BI optimization guidance recommends preferring measures over calculated columns, using variables to reduce repeated work, and tuning storage/refresh strategies; DAX Studio and VertiPaq/Performance Analyzer are recommended tools for diagnosing slow queries. (learn.microsoft.com) Published DAX best-practice guides add concrete tactics—minimize row-context iterators, remove unused columns to improve compression, and replace expensive FILTER/ALL patterns with optimized patterns—to cut query times and simplify maintenance. (powerbidocs.com) KPMG and FP&A practitioners describe driver-based planning as embedding operational drivers into forecasts and using what‑if parameters for instant scenario analysis, enabling variance decomposition from volumes, pricing, and productivity to P&L outcomes. (kpmg.com) Industry guidance on analytics engineering positions data modelers as the bridge to business stakeholders by owning tested, documented dimensional models and turning driver-based inputs into repeatable KPIs—skills that map directly to the senior FP&A responsibilities Fatolu’s work showcases. (getdbt.com)