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POWER BI
Power BI for Data Engineers
Architecture, every chart type, DAX, data modeling, legacy vs Fabric, Direct Lake, deployment pipelines, sharing, and row-level security.
6 in-depth tutorials
Power BI architecture: Desktop vs Service, semantic models, Import vs DirectQuery vs Direct Lake, and gateways.
Every chart type: bar, line, pie, scatter, waterfall, KPI cards, slicers, drill-through, and bookmarks.
DAX: CALCULATE, filter context, measures vs calculated columns, time intelligence, and practical patterns.
Data modeling: star schema, relationships, cardinality, role-playing dimensions, and bridge tables.
Legacy vs Fabric: what changed, Direct Lake, P SKU to F SKU, semantic models, and migration path.
Deployment and sharing: deployment pipelines, lakehouse rebinding, RLS, Power BI Apps, and Variable Libraries.