Build scalable, production-ready Power BI solutions and confidently architect, govern, and manage enterprise BI environments
Key Features
- Design and deploy scalable Power BI solutions using proven architecture and Microsoft Fabric
- Build high-performance semantic models using Import, DirectQuery, Composite, and Direct Lake
- Operationalize Power BI at scale with governance, monitoring, and ALM best practices
Book Description
Power BI is Microsoft's leading business intelligence platform and a core workload within Microsoft Fabric. As organizations increasingly rely on Power BI for enterprise analytics, long-term success depends on more than report design—it requires strong architecture, governance, and operational discipline In the third edition of Mastering Microsoft Power BI, you'll gain end-to-end guidance on planning, building, deploying, and managing professional Power BI solutions. The book walks through how workspaces, capacities, dataflows, semantic models, and reports work together to deliver trusted, low-maintenance analytics You'll deepen your understanding of semantic model design, DAX, and Power Query, while also learning how to administer and monitor Power BI environments, implement application lifecycle management, and integrate Power BI with Power Automate and Power Apps. This book is written for BI professionals who want to move beyond Power BI Desktop and operate Power BI as a scalable analytics platform
What you will learn
- Evaluate Power BI deployment options and licensing models
- Design workspace architectures and role-based access models
- Create effective and scalable Power BI reports
- Apply core concepts of DAX and Power Query
- Integrate Power Automate and Power Apps with Power BI
- Implement application lifecycle management processes
- Distribute Power BI content beyond the Power BI service
- Monitor and administer Power BI environments
Who this book is for
BI developers, analysts, architects and managers at all levels of experience with Power BI should find this book relevant to their team and projects. To obtain the most value, readers should have experience in creating semantic models and reports as well as publishing and managing content in Power BI workspaces and apps. Access to Power BI Desktop, a workspace, and a Power BI Pro or Premium license would also be helpful to follow along. Additionally, a familiarity with business intelligence concepts such as dimensional modeling and the DAX and Power Query (M) languages is also helpful
