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Course Description. DP-601: Implementing a Lakehouse with Microsoft Fabric
This course is designed to develop your fundamental skills in data engineering in Microsoft Fabric, focusing on the Lakehouse concept. This course will explore the powerful capabilities of Apache Spark for distributed data processing and essential techniques for efficient data management, version control, and reliability when 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 for working with lakes in Microsoft Fabric.
Audience Profile
The primary audience for this course is data professionals who are familiar with data modeling, mining, and analysis. 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.
Job role: data analyst, data engineer, data scientist
Items in this collection
- Introduction to end-to-end analytics with Microsoft Fabric
- Get started with lake houses in Microsoft Fabric
- Using Apache Spark on Microsoft Fabric
- Working with Delta Lake Tables in Microsoft Fabric
- Ingesting data with Dataflows Gen2 in Microsoft Fabric
- Using Data Factory Pipelines in Microsoft Fabric
Prerequisites
You should be familiar with basic data concepts and terminology.
Language
- Course: English / Spanish
- Labs: English / Spanish
Microsoft Applied Skills
This course is part of the Microsoft Applied Skills Credentials.
To earn this Microsoft applied skills credential, students demonstrate the ability to implement a lake store in Microsoft Fabric, including: Creating and managing a lake store, Ingesting and transforming data, Querying and exploring lake store data.
Applied Skills: Explore all credentials in one guide
