DP-605 Prepare and visualize data with Microsoft Power BI

1 – Get data in Power BI

• Get data from files
• Get data from relational data sources
• Create dynamic reports with parameters
• Get data from a NoSQL database
• Get data from online services
• Select a storage mode
• Get data from Azure Analysis Services
• Fix performance issues
• Resolve data import errors

2 – Clean, transform, and load data in Power BI

• Shape the initial data
• Simplify the data structure
• Evaluate and change column data types
• Combine multiple tables into a single table
• Profile data in Power BI
• Use Advanced Editor to modify M code

3 – Design a semantic model in Power BI

• Work with tables
• Create a date table
• Work with dimensions
• Define data granularity
• Work with relationships and cardinality
• Resolve modeling challenges

4 – Add measures to Power BI Desktop models

• Create simple measures
• Create compound measures
• Create quick measures
• Compare calculated columns with measures

5 – Add calculated tables and columns to Power BI Desktop models

• Create calculated columns
• Learn about row context
• Choose a technique to add a column

6 – Design Power BI reports

• Design the analytical report layout
• Design visually appealing reports
• Report objects
• Select report visuals
• Select report visuals to suit the report layout
• Format and configure visualizations
• Work with key performance indicators

7 – Configure Power BI report filters

• Introduction to designing reports for filtering
• Apply filters to the report structure
• Apply filters with slicers
• Design reports with advanced filtering techniques
• Consumption-time filtering
• Select report filter techniques
• Case study – Configure report filters based on feedback

8 – Create and manage workspaces in Power BI

• Distribute a report or dashboard
• Monitor usage and performance
• Recommend a development life cycle strategy
• Troubleshoot data by viewing its lineage
• Configure data protection

9 – Manage semantic models in Power BI

• Use a Power BI gateway to connect to on-premises data sources
• Configure a semantic model scheduled refresh
• Configure incremental refresh settings
• Manage and promote semantic models
• Troubleshoot service connectivity
• Boost performance with query caching (Premium)