This course is intended for business intelligence professionals responsible for the design and development of Power BI content as well as managers, architects and administrators who oversee Power BI projects and deployments. The chapters flow from the planning of a Power BI project through the development and distribution of content to the administration of Power BI for an organization.
BI developers will learn how to create sustainable and impactful Power BI datasets, reports, and dashboards. This includes connecting to data sources, shaping and enhancing source data, and developing an analytical data model. Additionally, top report and dashboard design practices are described using features such as Bookmarks and the Power KPI visual.
BI managers will learn how Power BI’s tools work together such as with the On-premises data gateway and how content can be staged and securely distributed via Apps. Additionally, both the Power BI Report Server and Power BI Premium are reviewed.
By the end of this course, you will be confident in creating effective charts, tables, reports or dashboards for any kind of data using the tools and techniques in Microsoft PowerBI.
- Build efficient data retrieval and transformation processes with the Power Query M Language
- Design scalable, user-friendly DirectQuery and Import Data Models
- Develop visually rich, immersive, and interactive reports and dashboards
- Maintain version control and stage deployments across development, test, and production environments
- Manage and monitor the Power BI Service and the On-Premises Data Gateway
- Develop a fully On-Premise Solution with the Power BI Report Server
- Scale up a Power BI solution via Power BI Premium capacity and migration to Azure Analysis Services or SQL Server Analysis Services
Chapter 1: PLANNING POWER BI PROJECTS
- Power BI deployment modes
- Project discovery and ingestion
- Power BI project roles
- Power BI licenses
- Data warehouse bus matrix
- Dataset design process
- Data profiling
- Dataset planning
- Sample project analysis
Chapter 2: CONNECTING TO SOURCES AND TRANSFORMING DATA WITH M
- Query design per dataset mode
- Data sources
- SQL views
- M queries
- Query folding
- M Query examples
- M editing tools
Chapter 3: DESIGNING IMPORT AND DIRECTQUERY DATA MODELS
- Dataset layers
- The Data Model
- Relationships
- Model metadata
- Optimizing performance
Chapter 4: DEVELOPING DAX MEASURES AND SECURITY ROLES
- DAX measures
- Base measures
- Date intelligence metrics
- Dimension metrics
- Ranking metrics
- Security roles
- Performance testing
Chapter 5: CREATING AND FORMATTING POWER BI REPORTS
- Report planning
- Live connections to Power BI datasets
- Visualization best practices
- Choosing the visual
- Visual interactions
- Slicers
- Report filter scopes
- Visualization formatting
- Map visuals
- Mobile-optimized reports
Chapter 6: APPLYING CUSTOM VISUALS, ANIMATION, AND ANALYTICS
- Drillthrough report pages
- Bookmarks
- ArcGIS Map visual for Power BI
- Waterfall chart breakdown
- Analytics pane
- Quick Insights
- Custom visuals
- Animation and data storytelling
Chapter 7: DESIGNING POWER BI DASHBOARDS AND ARCHITECTURES
- Dashboards versus reports
- Dashboard design
- Multi-dashboard architectures
- Dashboard tiles
- Live report pages
- Mobile-optimized dashboards
Chapter 8: MANAGING APPLICATION WORKSPACES AND CONTENT
- Application workspaces
- Staged deployments
- Dashboard data classifications
- Version control
- Metadata management
Chapter 9: MANAGING THE ON-PREMISES DATA GATEWAY
- On-premises data gateway planning
- Gateway clusters
- Gateway architectures
- Gateway security
- Gateway configuration
- Managing gateway clusters
- Troubleshooting and monitoring gateways
- Scheduled data refresh
- DirectQuery datasets
- Live connections to Analysis Services models
- Dashboard cache refresh
Chapter 10: DEPLOYING THE POWER BI REPORT SERVER
- Planning for the Power BI Report Server
- Installation
- Configuration
- Upgrade cycles
- Report Server Desktop Application
- Report Server Web Portal
- Power BI mobile applications
- Report server administration
- Scale Power BI Report Server
Chapter 11: CREATING POWER BI APPS AND CONTENT DISTRIBUTION
- Content distribution methods
- Power BI apps
- Self-Service BI workspace
- Sharing dashboards and reports
- SharePoint Online embedding
- Custom application embedding
- Publish to web
- Data alerts
- Email Subscriptions
- Analyze in Excel
Chapter 12: ADMINISTERING POWER BI FOR AN ORGANIZATION
- Data governance for Power BI
- Azure Active Directory
- Power BI Admin Portal
- Usage metrics reports
- Audit logs
- Power BI Premium capacities
Chapter 13: SCALING WITH PREMIUM AND ANALYSIS SERVICES
- Power BI Premium
- Power BI Premium capacity allocation
- Premium capacity estimations
- Analysis Services
- Migration of Power BI Desktop to Analysis Services
