Discover how Microsoft Fabric can meet your enterprise’s analytics needs in one platform. Learn about Microsoft Fabric, how it works, and identify how you can use it for your analytics needs.

Lessons

• Introduction
• Explore end-to-end analytics with Microsoft Fabric
• Explore data teams and Microsoft Fabric
• Enable and use Microsoft Fabric
• Module assessment

Lakehouses merge data lake storage flexibility with data warehouse analytics. Microsoft Fabric offers a lakehouse solution for comprehensive analytics on a single SaaS platform.

• Introduction
• Explore the Microsoft Fabric lakehouse
• Work with Microsoft Fabric lakehouses
• Explore and transform data in a lakehouse
• Exercise – Create a Microsoft Fabric lakehouse
• Module assessment

Apache Spark is a core technology for large-scale data analytics. Microsoft Fabric provides support for Spark clusters, enabling you to analyse and process data in a Lakehouse at scale.

• 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

Tables in a Microsoft Fabric lakehouse are based on the Delta Lake storage format commonly used in Apache Spark. By using the enhanced capabilities of delta tables, you can create advanced analytics solutions.

• Introduction
• Understand Delta Lake
• Create delta tables
• Optimize delta tables
• Work with delta tables in Spark
• Use delta tables with streaming data
• Exercise – Use delta tables in Apache Spark

Data ingestion is crucial in analytics. Microsoft Fabric’s Data Factory offers Dataflows for visually creating multi-step data ingestion and transformation using Power Query Online.

• 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
• Module assessment

Microsoft Fabric includes Data Factory capabilities, including the ability to create pipelines that orchestrate data ingestion and transformation tasks.

• Introduction
• Understand pipelines
• Use the Copy Data activity
• Use pipeline templates
• Run and monitor pipelines
• Exercise – Ingest data with a pipeline
• Module assessment

Explore the potential of the medallion architecture design in Microsoft Fabric. Organize and transform your data across Bronze, Silver, and Gold layers of a lakehouse for optimized analytics.

• 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
• Module assessment