Module 1: Introduction to end-to-end analytics using Microsoft Fabric
In this module, you’ll learn how to:
- Describe end-to-end analytics in Microsoft Fabric
Module 2: Get started with lakehouses in Microsoft Fabric
In this module, you’ll learn how to:
- Describe core features and capabilities of lakehouses in Microsoft Fabric
- Create a lakehouse
- Ingest data into files and tables in a lakehouse
- Query lakehouse tables with SQL
Module 3: Use Apache Spark in Microsoft Fabric
In this module, you’ll learn how to:
- Configure Spark in a Microsoft Fabric workspace
- Identify suitable scenarios for Spark notebooks and Spark jobs
- Use Spark dataframes to analyze and transform data
- Use Spark SQL to query data in tables and views
- Visualize data in a Spark notebook
Module 4: Work with Delta Lake tables in Microsoft Fabric
In this module, you’ll learn how to:
- Understand Delta Lake and delta tables in Microsoft Fabric
- Create and manage delta tables using Spark
- Use Spark to query and transform data in delta tables
- Use delta tables with Spark structured streaming
Module 5: Ingest Data with Dataflows Gen2 in Microsoft Fabric
In this module, you’ll learn how to:
- Describe Dataflow (Gen2) capabilities in Microsoft Fabric
- Create Dataflow (Gen2) solutions to ingest and transform data
- Include a Dataflow (Gen2) in a pipeline
Module 6: Use Data Factory pipelines in Microsoft Fabric
In this module, you’ll learn how to:
- Describe pipeline capabilities in Microsoft Fabric
- Use the Copy Data activity in a pipeline
- Create pipelines based on predefined templates
- Run and monitor pipelines