Curriculum
- 1 Section
- 15 Lessons
- 4 Days
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- Topics15
- 1.1Ingest Data with Dataflows Gen2 in Microsoft Fabric Introduction Understand Dataflows Gen2 in Microsoft Fabric Explore Dataflows Gen2 in Microsoft Fabric Integrate Dataflows Gen2 and Pipelines in Microsoft Fabric Exercise – Create and use a Dataflow Gen2 in Microsoft Fabric Knowledge check
- 1.2Ingest data with Spark and Microsoft Fabric notebooks Introduction Connect to data with Spark Write data into a lakehouse Consider uses for ingested data Exercise – Ingest data with Spark and Microsoft Fabric notebooks Knowledge check
- 1.3Use Data Factory pipelines in Microsoft Fabric Introduction Understand pipelines Use the Copy Data activity Use pipeline templates Run and monitor pipelines Exercise – Ingest data with a pipeline Knowledge check
- 1.4Get started with lakehouses in Microsoft Fabric Introduction Explore the Microsoft Fabric Lakehouse Work with Microsoft Fabric Lakehouses Explore and transform data in a lakehouse Exercise – Create and ingest data with a Microsoft Fabric Lakehouse Knowledge check
- 1.5Organize a Fabric lakehouse using medallion architecture design Introduction Describe medallion architecture Implement a medallion architecture in Fabric Query and report on data in your Fabric lakehouse Considerations for managing your lakehouse Exercise – Organize your Fabric lakehouse using a medallion architecture Knowledge check
- 1.6Use Apache Spark in Microsoft Fabric Introduction 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 Exercise – Analyze data with Apache Spark Knowledge check
- 1.7Work with Delta Lake tables in Microsoft Fabric Introduction Understand Delta Lake Create delta tables Work with delta tables in Spark Use delta tables with streaming data Exercise – Use delta tables in Apache Spark Knowledge check
- 1.8Get started with data warehouses in Microsoft Fabric Introduction 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 Exercise – Analyze data in a data warehouse Knowledge check
- 1.9Load data into a Microsoft Fabric data warehouse Introduction Explore data load strategies Use data pipelines to load a warehouse Load data using T-SQL Load and transform data with Dataflow Gen2 Exercise: Load data into a warehouse in Microsoft Fabric Knowledge check
- 1.10Query a data warehouse in Microsoft Fabric Introduction Use the SQL query editor Explore the visual query editor Use client tools to query a warehouse Exercise: Query a data warehouse in Microsoft Fabric Knowledge check
- 1.11Monitor a Microsoft Fabric data warehouse Introduction Monitor capacity metrics Monitor current activity Monitor queries Exercise – Monitor a data warehouse in Microsoft Fabric Knowledge check
- 1.12Understand scalability in Power BI Introduction Describe the significance of scalable models Implement Power BI data modeling best practices Configure large datasets Exercise: Create a star schema model Knowledge check
- 1.13Create Power BI model relationships Introduction Understand model relationships Set up relationships Use DAX relationship functions Understand relationship evaluation Exercise: Work with model relationships Knowledge check
- 1.14Use tools to optimize Power BI performance Introduction Use Performance analyzer Troubleshoot DAX performance by using DAX Studio Optimize a data model by using Best Practice Analyzer Exercise: Use tools to optimize Power BI performance Knowledge check
- 1.15Enforce Power BI model security Introduction Restrict access to Power BI model data Restrict access to Power BI model objects Apply good modeling practices Exercise: Enforce model security Knowledge check
Understand scalability in Power BI Introduction Describe the significance of scalable models Implement Power BI data modeling best practices Configure large datasets Exercise: Create a star schema model Knowledge check
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Use tools to optimize Power BI performance Introduction Use Performance analyzer Troubleshoot DAX performance by using DAX Studio Optimize a data model by using Best Practice Analyzer Exercise: Use tools to optimize Power BI performance Knowledge check
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