DP-601: Implementing a Lakehouse with Microsoft Fabrics
Reference : MS DP-601Educational objectives
At the end of this “DP-601: Implementing a Lakehouse with Microsoft Fabrics” course, participants should be able to:
- Describe end-to-end analytics in Microsoft Fabric.
- Describe core features and capabilities of lakehouses in Microsoft Fabric.
- Create a lakehouse.
- Ingest data into files and tables in a lakehouse.
- Query lakehouse tables with SQL.
- Configure Spark in a Microsoft Fabric workspace.
- Identify suitable scenarios for Spark notebooks and Spark job.
- Use Spark dataframes to analyze and transform data.
Course programme
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 is this course for?
Public
Empowering data professionals familiar with data modeling, extraction, and analytics, this course is tailored for individuals interested in implementing a Lakehouse with Microsoft Fabrics. Ideal for those seeking knowledge about Lakehouse architecture, the Microsoft Fabric platform, and the enablement of end-to-end analytics using these technologies, the program provides comprehensive training for professionals in the data realm. Elevate capabilities on this learning journey, gaining proficiency in implementing a Lakehouse with Microsoft Fabrics!
Prerequisites
Participants interested in taking this course should have a basic understanding of data concepts and familiarity with data processing and storage architectures.