View all courses

This 1-day instructor-led 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.

Target Audience
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.

What You'll 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
  • Use Data Factory pipelines in Microsoft Fabric

*Request Detailed Syllabus

Register for this course
View all courses
  • Course Number DP-601
  • Course Length 1 day
  • Course Fee $595.00
  • Delivery Format vILT (Instructor Led; Virtual LIVE Online; Remote Training)
  • Course Topic Certification
  • Vendor Microsoft
  • Technology Microsoft 365
Need a different date? This course is also offered on these dates
Date Course ID Course Name Duration Delivery Format Registration
12/30/2024 DP-601 Implementing a Lakehouse with Microsoft Fabric (DP-601) 1 day vILT Register
01/13/2025 DP-601 Implementing a Lakehouse with Microsoft Fabric (DP-601) 1 day vILT Register

Register for course: DP-601

"*" indicates required fields

This field is for validation purposes and should be left unchanged.