DP-601T00 - Implementing a Lakehouse with Microsoft Fabric

Course Description

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.
1 Days
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Who should attend

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.

Introduction to end-to-end analytics using Microsoft Fabric

Explore end-to-end analytics in Microsoft Fabric
Data teams and Microsoft Fabric
Enable and use Microsoft Fabric

Get started with lakehouses 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

Use Apache Spark in Microsoft Fabric

Configure Spark in a Microsoft Fabric workspace
Identify suitable scenarios for Spark notebooks and Spark jobs
Use Spark dataframes to analyze and transform data
Use Spark SQL to query data in tables and views
Visualize data in a Spark notebook

Work with Delta Lake tables in Microsoft Fabric

Understand Delta Lake and delta tables in Microsoft Fabric
Create and manage delta tables using Spark
Use Spark to query and transform data in delta tables
Use delta tables with Spark structured streaming

Ingest Data with Dataflows Gen2 in Microsoft Fabric

Describe Dataflow (Gen2) capabilities in Microsoft Fabric
Create Dataflow (Gen2) solutions to ingest and transform data
Include a Dataflow (Gen2) in a pipeline

Use Data Factory pipelines in Microsoft Fabric

Describe pipeline capabilities in Microsoft Fabric
Use the Copy Data activity in a pipeline
Create pipelines based on predefined templates
Run and monitor pipelines
Azure SQLAzureApache SparkLakehouseFabricMicrosoft FabricDelta LakeDataflows Gen2Data Factory