DP-601: Implementing a Lakehouse with Microsoft Fabric

Course 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.

Key Learning Areas

Understand the features and capabilities of Dynamics 365 Supply Chain
Learners will be introduced to the fundamentals of end-to-end analytics using Microsoft Fabric
Understand the foundation of data engineering on Fabric through the exploration of the Lakehouse
Explore the powerful capabilities of Apache Spark for distributed data processing
Gain essential techniques for efficient data management, versioning, and reliability by working with Delta Lake tables
Explore data ingestion and orchestration using Dataflows Gen2 and Data Factory pipelines

Course Outline

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 Datflows Gen2 in Microsoft Fabric
Use Data Factory pipelines in Microsoft Fabric

Who Benefits

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.

Prerequisites

You should be familiar with basic data concepts and terminology.

Want this course for your team?

Atmosera can provide this course virtually or on-site. Please reach out to discuss your requirements.

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