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.
Pre-requisites
You should be familiar with basic data concepts and terminology..
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.
