Course Objectives
Describe end-to-end analytics in Microsoft Fabric
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
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
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
Describe Dataflow (Gen2) capabilities in Microsoft Fabric
Create Dataflow (Gen2) solutions to ingest and transform data
Include a Dataflow (Gen2) in a pipeline
Agenda
- Explore end-to-end analytics with Microsoft Fabric
- Data teams and Microsoft Fabric
- Enable and use Microsoft Fabric
- Knowledge Check
- Explore the Microsoft Fabric Lakehouse
- Work with Microsoft Fabric Lakehouses
- Exercise – Create and ingest data with a Microsoft Fabric Lakehouse
- 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
- 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
- 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
FREE
Interested in course?
Course Type: Instructor Led