1 – Introduction to end-to-end analytics using Microsoft Fabric

• Explore end-to-end analytics with Microsoft Fabric
• Data teams and Microsoft Fabric
• Enable and use Microsoft Fabric

2 – Administer Microsoft Fabric

• Understand the Fabric Architecture
• Understand the Fabric administrator role
• Manage Fabric security
• Govern data in Fabric

3 – Ingest Data with Dataflows Gen2 in Microsoft Fabric

• Understand Dataflows Gen2 in Microsoft Fabric
• Explore Dataflows Gen2 in Microsoft Fabric
• Integrate Dataflows Gen2 and Pipelines in Microsoft Fabric

4 – Ingest data with Spark and Microsoft Fabric notebooks

• Connect to data with Spark
• Write data into a lakehouse
• Consider uses for ingested data

5 – Use Data Factory pipelines in Microsoft Fabric

• Understand pipelines
• Use the Copy Data activity
• Use pipeline templates
• Run and monitor pipelines

6 – Get started with lakehouses in Microsoft Fabric

• Explore the Microsoft Fabric Lakehouse
• Work with Microsoft Fabric Lakehouses
• Explore and transform data in a lakehouse

7 – Organize a Fabric lakehouse using medallion architecture design

• Describe medallion architecture
• Implement a medallion architecture in Fabric
• Query and report on data in your Fabric lakehouse
• Considerations for managing your lakehouse

8 – Use Apache Spark in Microsoft Fabric

• Prepare to use Apache Spark
• Run Spark code
• Work with data in a Spark dataframe
• Work with data using Spark SQL
• Visualize data in a Spark notebook

9 – Work with Delta Lake tables in Microsoft Fabric

• Understand Delta Lake
• Create delta tables
• Work with delta tables in Spark
• Use delta tables with streaming data

10 – Get started with data warehouses in Microsoft Fabric

• Understand data warehouse fundamentals
• Understand data warehouses in Fabric
• Query and transform data
• Prepare data for analysis and reporting
• Secure and monitor your data warehouse

11 – Load data into a Microsoft Fabric data warehouse

• Explore data load strategies
• Use data pipelines to load a warehouse
• Load data using T-SQL
• Load and transform data with Dataflow Gen2

12 – Query a data warehouse in Microsoft Fabric

• Use the SQL query editor
• Explore the visual query editor
• Use client tools to query a warehouse

13 – Monitor a Microsoft Fabric data warehouse

• Monitor capacity metrics
• Monitor current activity
• Monitor queries

14 – Understand scalability in Power BI

• Describe the significance of scalable models
• Implement Power BI data modeling best practices
• Configure large datasets

15 – Create Power BI model relationships

• Understand model relationships
• Set up relationships
• Use DAX relationship functions
• Understand relationship evaluation

16 – Use tools to optimize Power BI performance

• Use Performance analyzer
• Troubleshoot DAX performance by using DAX Studio
• Optimize a data model by using Best Practice Analyzer

17 – Enforce Power BI model security

• Restrict access to Power BI model data
• Restrict access to Power BI model objects
• Apply good modeling practices