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Microsoft Implement a Lakehouse with Microsoft Fabric (DP-601)

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Exam

Exam fees included

Course code

msilmf

Course pricing varies based on delivery method and location.

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What you’ll learn

This Microsoft Implement a Lakehouse with Microsoft Fabric (DP-601) course is designed to build your foundational skills in data engineering on Microsoft Fabric, focusing on the Lakehouse concept.

On this course you 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 also explores data ingestion and orchestration using Dataflows Gen2 and Data Factory pipelines and includes a combination of lectures and hands-on exercises that will prepare you to work with Lakehouses in Microsoft Fabric.

At Firebrand, we are one of the few companies in the world to be designated a Microsoft Cloud Partner. Through our Lecture | Lab | Review method, you’ll access official courseware, learn from certified instructors, and train in a distraction-free environment.

Audience

This course is ideal for:

  • Professionals who are familiar with data modeling, extraction, and analytics

  • 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.

Curriculum

  • Module 1: Introduction to end-to-end analytics using Microsoft Fabric

  • Module 2: Get started with lakehouses in Microsoft Fabric 

  • Module 3: Use Apache Spark in Microsoft Fabric

  • Module 4: Work with Delta Lake tables in Microsoft Fabric

  • Module 5: Ingest Data with Dataflows Gen2 in Microsoft Fabric

  • Module 6: Orchestrate processes and data movement with Microsoft Fabric

  • Module 7: Organize a Fabric lakehouse using medallion architecture design

Prerequisites

Before attending this course, you should be familiar with data modeling, extraction, and analytics, as well as basic data concepts and terminology.

Exam info

There is no exam associated with this course.

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