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DP-605 Develop dynamic reports with Microsoft Power BI
Modern reporting demands go far beyond simple tables. Power BI provides the foundation for reports that respond to user input, map connections in a structured way, and actively accelerate decision-making.
Key topics
- Dynamically controlling report content based on user interactions.
- Understanding and applying complex DAX formulas effectively.
- Building and configuring visualizations based on context.
- Designing reports consistently from the user’s perspective.
- Analyzing load times and improving overall performance.
Prerequisite
A working knowledge of Power BI along with a basic understanding of DAX and data models is required to get started.
Target group
Anyone who creates reports, prepares data, or communicates analysis results as part of their daily work will benefit from this training.
Power BI combines data modeling, analysis, and visualization in one tool. What you learn here can be applied directly in your next reporting project.
Course content
Accessing data in Power BI
- Connecting and importing file-based data sources.
- Using relational databases as data sources.
- Building flexible reports using parameters.
- Connecting to and querying NoSQL databases.
- Integrating online services as data sources.
- Choosing the right storage mode for your data.
- Connecting Azure Analysis Services as a data source.
- Analyzing and resolving performance problems.
- Identifying and fixing data import errors.
Data preparation in Power Query
- Cleaning and adjusting raw data.
- Optimizing table structures.
- Verifying and correcting column data types.
- Joining and merging multiple tables.
- Transforming data and making it ready for analysis.
- Customizing queries with M code in the Advanced Editor.
Building a semantic data model
- Structuring and managing tables.
- Creating and configuring a date table.
- Understanding and correctly applying dimensions.
- Choosing the right level of granularity for your data.
- Setting up table relationships and cardinalities.
- Recognizing and resolving common modeling issues.
Measures in Power BI Desktop
- Creating and configuring basic measures.
- Building complex measures through combination.
- Using quick measures for common calculations.
- Distinguishing between measures and calculated columns.
Calculated columns in Power BI
- Adding new columns through calculated expressions.
- Understanding row context in calculations.
- Choosing the right method for adding columns.
Analysis report layout in Power BI
- Planning the structure and layout of analysis reports.
- Developing the visual design of reports.
- Selecting and placing appropriate report elements.
- Integrating images meaningfully into reports.
- Identifying suitable visualization types for the layout.
- Configuring and optimizing charts and graphics.
- Creating and interpreting KPI visualizations.
Filters and slicers in Power BI reports
- Setting up and customizing filters in reports.
- Embedding filters seamlessly into the report structure.
- Using slicers as interactive filtering tools.
- Applying advanced filter methods.
- Configuring time-based filters.
- Selecting appropriate filtering methods.
- Practical example: Adapting filters based on user feedback.
Deployment and management in Power BI
- Publishing and deploying reports and dashboards.
- Monitoring usage metrics and performance.
- Deriving an appropriate development strategy.
- Analyzing error patterns using historical data.
- Configuring data protection settings.
Model maintenance and updates
- Setting up the Power BI Gateway for on-premises sources.
- Setting up automatic model refresh schedules.
- Configuring incremental refresh settings.
- Maintaining models and publishing them in the Power BI Service.
- Identifying and resolving service connectivity issues.
- Using query caching in Premium for better performance.
What value does hands-on Power BI reporting add in day-to-day work?
- Clear visualizations speed up decision-making, reduce manual analysis, and turn complex data into immediately actionable insights.
How does dynamic reporting address common reporting challenges?
- Unstructured data, inconsistent reports, and slow analysis are replaced by automated, interactive dashboards that deliver reliable results.
Who benefits most from dynamic Power BI reports?
- Particularly useful for data analysts, BI managers, and teams that need to make data-driven decisions quickly and reliably on a daily basis.
Which Power BI competencies are most sought-after?
- DAX knowledge, data modeling, and interactive visualization are among the most in-demand skills in modern BI teams.
What do structured reports deliver for data quality?
- Clearly defined models and consistent calculation logic minimize sources of error and produce reliable, consistent results.
Why are businesses turning to interactive dashboards?
- Real-time analysis enables immediate responses to changes – rather than waiting for outdated, static reports.
Why is automation so important in reporting?
- Automated processes save time, reduce the risk of errors, and ensure reports are always based on current data.
How does solid reporting expertise pay off career-wise?
- In-demand BI skills increase your visibility within the company and open doors to new roles in data-driven environments.
