Course Catalog
Implementing a Lakehouse with Microsoft Fabric (DP-601T00)
Code: DP-601T00
Duration: 1 Day
$675 USD

OVERVIEW

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DELIVERY FORMAT

This course is available in the following formats:

Virtual Classroom

Duration: 1 Day
Classroom

Duration: 1 Day

CLASS SCHEDULE

Delivery Format: Virtual Classroom
Date: Oct 05 2026 - Oct 05 2026 | 09:00 - 17:00 EDT
Location: Online
Course Length: 1 Day

$ 675

Delivery Format: Virtual Classroom
Date: Dec 14 2026 - Dec 14 2026 | 09:00 - 17:00 EST
Location: Online
Course Length: 1 Day

$ 675

Delivery Format: Virtual Classroom
Date: Mar 19 2027 - Mar 19 2027 | 08:30 - 16:30 EDT
Location: Online
Course Length: 1 Day

$ 675

Delivery Format: Virtual Classroom
Date: Jun 25 2027 - Jun 25 2027 | 08:30 - 16:30 EDT
Location: Online
Course Length: 1 Day

$ 675

GOALS

Students will learn,

  • Introduction to end-to-end analytics using Microsoft Fabric
  • Get started with lakehouses in Microsoft Fabric
  • Use Apache Spark in Microsoft Fabric
  • Work with Delta Lake tables in Microsoft Fabric
  • Ingest Data with Dataflows Gen2 in Microsoft Fabric
  • Orchestrate processes and data movement with Microsoft Fabric
  • Organize a Fabric lakehouse using medallion architecture design
OUTLINE

Module 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

Module 2: Get started with lakehouses in Microsoft Fabric

  • Explore the Microsoft Fabric lakehouse
  • Work with Microsoft Fabric lakehouses
  • Explore and transform data in a lakehouse
  • Exercise - Create a Microsoft Fabric lakehouse

Module 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

Module 4: Work with Delta Lake tables in Microsoft Fabric

  • 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

Module 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

Module 6: Orchestrate processes and data movement with Microsoft Fabric

  • Understand pipelines
  • Use the Copy Data activity
  • Use pipeline templates
  • Run and monitor pipelines
  • Exercise - Ingest data with a pipeline

Module 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

Module 2: Get started with lakehouses in Microsoft Fabric

  • Explore the Microsoft Fabric lakehouse
  • Work with Microsoft Fabric lakehouses
  • Explore and transform data in a lakehouse
  • Exercise - Create a Microsoft Fabric lakehouse

Module 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

Module 4: Work with Delta Lake tables in Microsoft Fabric

  • 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

Module 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

Module 6: Orchestrate processes and data movement with Microsoft Fabric

  • Understand pipelines
  • Use the Copy Data activity
  • Use pipeline templates
  • Run and monitor pipelines
  • Exercise - Ingest data with a pipeline
LABS

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Will Be Updated Soon!
WHO SHOULD ATTEND

The primary audience for this course is data professionals who are familiar with data modeling, extraction, and analytics. It is designed for professionals who are interested in gaining knowledge about Lakehouse architecture, the Microsoft Fabric platform, and how to enable end-to-end analytics using these technologies.

PREREQUISITES

You should be familiar with basic data concepts and terminology.