Deployment pipelines, row-level security, dataflows, and governance at scale.
Master professional Power BI deployments with complete three-stage pipelines. Learn to safely move reports between development, test, and production environments while managing data sources, security, and rollback procedures.
Learn to build enterprise-grade Power BI Dataflows that centralize data transformations, ensure consistency across reports, and scale to handle complex multi-source scenarios with proper governance and performance optimization.
Master the strategic decisions behind Power BI storage modes. Learn when to import data, when to query live, and how to combine both approaches for optimal performance and freshness in enterprise scenarios.
Learn to implement comprehensive Power BI governance using workspace architecture, security groups, row-level security, and audit logging. Build scalable frameworks that balance security with collaboration.
Learn how to architect a robust enterprise analytics platform combining Azure Synapse and Power BI. Build your first integration with real data and understand the key patterns for scalable business intelligence.
Master Power BI paginated reports to create pixel-perfect, professional documents that bridge the gap between interactive analysis and formal business reporting.
Learn to proactively monitor Power BI Premium capacity performance using built-in metrics and the Premium Metrics app. Master identifying bottlenecks, setting up alerts, and optimizing capacity settings for better user experience.
Learn to build comprehensive Power BI monitoring solutions using Premium Metrics. Master capacity utilization tracking, dataset refresh monitoring, and custom performance dashboards that identify issues before they impact users.
The XMLA endpoint transforms Power BI datasets from GUI-managed blobs into programmable Analysis Services databases accessible to every professional tool in the ecosystem. This expert-level lesson teaches you to configure XMLA access, connect SSMS, Tabular Editor, DAX Studio, and Python clients, execute TMSL for partition management and schema changes, and build a CI/CD pipeline that promotes datasets across environments without touching the Power BI UI.
Deploying Power BI at enterprise scale requires more than knowing how to build reports — it demands deliberate decisions about workspace structure, licensing tiers, and dedicated infrastructure. This complete lesson walks you through everything from workspace design patterns to Premium capacity provisioning, so you can build a Power BI environment that actually scales.
Stop waiting hours for Power BI dataset refreshes to complete. This deep-dive lesson walks you through designing and implementing production-grade incremental refresh for enterprise datasets, from query folding fundamentals to XMLA partition management — with realistic code examples and troubleshooting you won't find in the official docs.
Object-Level Security in Power BI goes beyond Row-Level Security to hide entire tables and columns at the metadata level — so restricted users can't even discover that sensitive fields exist. This expert-level lesson walks you through designing, implementing, and testing a complete OLS architecture using Tabular Editor, TMSL scripts, and XMLA endpoints against a realistic HR analytics model.
Your company's data lives on-premises. Your Power BI reports live in the cloud. The On-Premises Data Gateway is the bridge between them — and this lesson teaches you exactly how to build it, configure it, and keep it running reliably in a real enterprise environment.
Enterprise Power BI governance requires more than good intentions — it requires layered technical controls that work together. This lesson walks practitioners through configuring tenant settings, deploying Microsoft Purview sensitivity labels, and building an audit trail that satisfies real compliance requirements.
Learn how to wire Tabular Editor into your Power BI development workflow through the External Tools framework, write C# scripts for bulk model operations, and build a full CI/CD pipeline that deploys semantic models automatically. This is the lesson that turns your Power BI development from file management into proper software engineering.
Learn how to build a star schema data model in Power BI Desktop from scratch using a realistic retail scenario. This hands-on lesson covers fact tables, dimension tables, relationships, and validation — giving you the modeling foundation every enterprise Power BI report depends on.
Slow DirectQuery dashboards on massive fact tables aren't a hardware problem — they're an architecture problem. This lesson walks you through building a complete Power BI aggregation layer that routes common analytical queries to fast in-memory pre-summaries while preserving drill-through access to full granular detail.
Most Power BI tenants have a data trust problem — too many datasets, no clear authority, and endless debates over whose numbers are right. This lesson teaches you to design and implement a full-lifecycle certification program using Power BI endorsement, the Scanner API, and programmatic governance automation. You'll leave with both the technical implementation and the operational workflow needed to make certification mean something.
Stale data in enterprise dashboards isn't just inconvenient — it destroys trust. Learn how to configure Power BI scheduled refresh, set up gateway connections and credentials correctly, and build proactive failure alerting with both built-in tools and Power Automate so your team knows the moment something goes wrong.
Manual Power BI deployments are a production incident waiting to happen. This lesson walks you through building a complete CI/CD system that connects `.pbip` Git repositories, Power BI Deployment Pipelines, and Azure DevOps YAML pipelines into a fully automated, approval-gated delivery workflow. Every section includes production-ready PowerShell and YAML you can deploy today.
Learn how to architect a single Power BI Premium model that serves both real-time and multi-year historical data using Large Format Datasets and hybrid tables. This expert-level lesson covers storage engine internals, partitioning strategy, DirectQuery federation, and production operations — no compromises required.
Most Power BI teams are flying blind about which reports people actually use. This lesson teaches you how to extract tenant-wide Activity Log data, combine it with your report inventory, and build an adoption dashboard that exposes unused assets before they drain your capacity and development budget.
Most teams implement Power BI subscriptions at the smallest possible scale — one report, one recipient, one static schedule. This lesson teaches you how to architect scalable, personalized, and governed delivery pipelines that handle hundreds of stakeholders, data-driven alert triggers, and REST API automation. Build systems your stakeholders actually depend on.
Learn how to architect and implement a genuine enterprise semantic layer in Power BI — covering cross-workspace live connections, RLS inheritance, composite models, deployment pipelines, and XMLA-based governance. This is the lesson most Power BI tutorials skip: not just how to click the buttons, but how to make the structural decisions that determine whether your semantic layer succeeds or collapses under real-world conditions.
Hardcoded server names in 47 reports are a single infrastructure change away from a crisis. Learn how to use Power Query Parameters and .pbit template files to centralize and standardize data source configuration across every report in your enterprise.
Learn how to turn Power BI from a read-only dashboard into a two-way enterprise planning platform. This lesson walks through the complete architecture — from DAX input capture to Power Automate SQL writes — using a real sales planning scenario with named scenarios, approval locking, and audit trails.
Most Power BI teams have no way to roll back a broken semantic model, review DAX changes before they hit production, or understand what changed between releases. This lesson shows you how to implement production-grade version control for Power BI semantic models using TMDL and Git, complete with CI/CD pipelines, branching strategies, and deployment automation that handles the edge cases that break naive implementations.
Stop sharing workspaces and start delivering polished, governed report experiences with Power BI Apps. This hands-on lesson walks you through building, configuring, and publishing an enterprise app — including audience groups, navigation design, and seamless update workflows.
When dataset changes break reports across seven workspaces, you need more than luck — you need a lineage strategy. This lesson teaches you how to use Power BI's built-in lineage view and the Admin REST API to map every dependency in your tenant, build a live governance report, and integrate impact analysis into your change management process before things break.