DP-601T00 Implementing a Lakehouse with Microsoft Fabric

Details

Course Overview

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.

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.

Course Prerequisites

You should be familiar with basic data concepts and terminology.

What's Included

What’s included?

  • Authorized Courseware
  • Intensive Hands on Skills Development with an Experienced Subject Matter Expert
  • Hands-on practice on real Servers and extended lab support 1.800.482.3172
  • Examination Vouchers & Onsite Certification Testing- (excluding Adobe and PMP Boot Camps)
  • Academy Code of Honor: Test Pass Guarantee
  • Optional: Package for Hotel Accommodations, Lunch and Transportation

Training Solutions

With several convenient training delivery methods offered, The Academy makes getting the training you need easy. Whether you prefer to learn in a classroom or an online live learning virtual environment, training videos hosted online, and private group classes hosted at your site. We offer expert instruction to individuals, government agencies, non-profits, and corporations. Our live classes, on-sites, and online training videos all feature certified instructors who teach a detailed curriculum and share their expertise and insights with trainees. No matter how you prefer to receive the training, you can count on The Academy for an engaging and effective learning experience.

Methods

  • Instructor-Led (the best training format we offer)
  • Live Online Classroom – Online Instructor-Led
  • Self-Paced Video

Speak to an Admissions Representative for complete details

Schedule

StartFinishPublic PricePublic Enroll Private PricePrivate Enroll
12/8/202512/12/2025
12/29/20251/2/2026
1/19/20261/23/2026
2/9/20262/13/2026
3/2/20263/6/2026
3/23/20263/27/2026
4/13/20264/17/2026
5/4/20265/8/2026
5/25/20265/29/2026
6/15/20266/19/2026
7/6/20267/10/2026
7/27/20267/31/2026
8/17/20268/21/2026
9/7/20269/11/2026
9/28/202610/2/2026
10/19/202610/23/2026
11/9/202611/13/2026
11/30/202612/4/2026
12/21/202612/25/2026
1/11/20271/15/2027

Curriculum

Agenda

Duration
1 Day

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

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

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

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

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

6 – Use Data Factory pipelines in Microsoft Fabric

  • Understand pipelines
  • Use the Copy Data activity
  • Use pipeline templates
  • Run and monitor pipelines