Microsoft Fabric exercises
The following exercises are designed to support the modules on Microsoft Learn.
| Module | Lab |
|---|---|
| Get started with lakehouses in Microsoft Fabric | Create a Microsoft Fabric Lakehouse |
| Use Apache Spark to work with files in a lakehouse | Analyze data with Apache Spark |
| Work with Delta Lake tables in Microsoft Fabric | Use delta tables in Apache Spark |
| Organize a Fabric lakehouse using medallion architecture design | Create a medallion architecture in a Microsoft Fabric lakehouse |
| Use Data Factory pipelines in Microsoft Fabric | Ingest data with a pipeline in Microsoft Fabric |
| Ingest Data with Dataflows Gen2 in Microsoft Fabric | Create and use Dataflows (Gen2) in Microsoft Fabric |
| Get started with data warehouses in Microsoft Fabric | Analyze data in a data warehouse |
| Load data into a warehouse in Microsoft Fabric | Load data into a warehouse using T-SQL |
| Query a data warehouse in Microsoft Fabric | Query a data warehouse in Microsoft Fabric |
| Monitor a data warehouse in Microsoft Fabric | Monitor a data warehouse in Microsoft Fabric |
| Get started with real-time analytics in Microsoft Fabric | Get started with Real-Time Analytics in Microsoft Fabric |
| Get started with data science in Microsoft Fabric | Get started with data science in Microsoft Fabric |
| Explore data for data science with notebooks in Microsoft Fabric | Explore data for data science with notebooks in Microsoft Fabric |
| Preprocess data with Data Wrangler in Microsoft Fabric | Preprocess data with Data Wrangler in Microsoft Fabric |
| Train and track machine learning models with MLflow in Microsoft Fabric | Train and track machine learning models with MLflow in Microsoft Fabric |
| Generate batch predictions using a deployed model in Microsoft Fabric | Generate batch predictions using a deployed model in Microsoft Fabric |
| Get started with Eventstream in Microsoft Fabric | Get started with Eventstream in Microsoft Fabric |
| Ingest data with Spark and Microsoft Fabric notebooks | Ingest data with Spark and Microsoft Fabric notebooks |
| Get started with Data Activator in Microsoft Fabric | Use Data Activator in Fabric |
| Query data from a Kusto Query database in Microsoft Fabric | Query data in KQL Database |
| Understand scalability in Power BI | Create and explore a semantic model |
| Design and build tabular models | Work with model relationships |
| Optimize enterprise-scale tabular models | Use tools to optimize Power BI performance |
| Design and build tabular models | Enforce semantic model security |