DP-601: Implementing a Lakehouse with Microsoft Fabric

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.

Gain valuable information on using Microsoft Fabric and understand the benefits of the platform. In the training, you will learn how to:

1. Utilize Microsoft Fabric’s Onelake and lakehouse data warehouse.
2. Utilize Apache Spark for data processing in the Microsoft Fabric environment.
3. Utilize the Delta Lake data storage format and working with Delta tables in the Microsoft Fabric environment.
4. Read and transform data from different sources using Microsoft Fabric tools.
5. Create data pipelines with Data Factory in the Microsoft Fabric environment.

Participants should have a basic proficiency in Python and SQL. Experience in data processing and storaging is beneficial but not mandatory.

Module 1: Introduction to end-to-end analytics using Microsoft Fabric

Discover how Microsoft Fabric can meet your enterprise’s analytics needs in one platform. Learn about Microsoft Fabric, how it works, and identify how you can use it for your analytics needs.

Module 2: Get started with lakehouses in Microsoft Fabric

Lakehouses merge data lake storage flexibility with data warehouse analytics. Microsoft Fabric offers a lakehouse solution for comprehensive analytics on a single SaaS platform.

Module 3: Use Apache Spark in Microsoft Fabric

Apache Spark is a core technology for large-scale data analytics. Microsoft Fabric provides support for Spark clusters, enabling you to analyze and process data in a Lakehouse at scale.

Module 4: Work with Delta Lake tables in Microsoft Fabric

Tables in a Microsoft Fabric lakehouse are based on the Delta Lake storage format commonly used in Apache Spark. By using the enhanced capabilities of delta tables, you can create advanced analytics solutions.

Module 5: Ingest Data with Dataflows Gen2 in Microsoft Fabric

Data ingestion is crucial in analytics. Microsoft Fabric’s Data Factory offers Dataflows (Gen2) for visually creating multi-step data ingestion and transformation using Power Query Online.

Module 6: Use Data Factory pipelines in Microsoft Fabric

Microsoft Fabric includes Data Factory capabilities, including the ability to create pipelines that orchestrate data ingestion and transformation tasks.