DP-601T00
DP-601T00: Implement a Lakehouse with Microsoft Fabric
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Duration:
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1 Day
Prerequisites
• Basic understanding of data concepts
and terminology.
What you’ll learn in this course
This course is designed to build your foundational skills in data engineering on Microsoft Fabric, focusing on the Lakehouse concept. This course will explore the powerful capabilities of Apache Spark for distributed data processing and the essential techniques for efficient data management, versioning,
and reliability by working with Delta Lake tables. This course will also explore data ingestion and orchestration using Dataflows Gen2 and Data Factory pipelines. This course includes a combination of lectures and hands-on exercises that will prepare you to work with Lakehouses in Microsoft Fabric.
Course Outline
1 - Introduction to end-to-end analytics using Microsoft Fabric
• Explore end-to-end analytics with Microsoft Fabric
• Data teams and Microsoft Fabric
• Enable and use Microsoft Fabric
• Knowledge Check
2 - Get started with lakehouses in Microsoft Fabric
• Explore the Microsoft Fabric Lakehouse
• Work with Microsoft Fabric Lakehouses
• Exercise - Create and ingest data with a Microsoft Fabric Lakehouse
3 - Use Apache Spark in Microsoft Fabric
• 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
4 - Work with Delta Lake Tables in Microsoft Fabric
• 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
5 - Ingest Data with DataFlows Gen2 in Microsoft Fabric
• 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
Further information
If you would like to know more about this course please contact us
