DP-601T00 Implementing a Lakehouse with Microsoft Fabric

1 Days

6 CPD hours

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.
Job role: Data Analyst, Data Engineer, Data Scientist

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

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.

Introduction to end-to-end analytics using Microsoft Fabric

• Explore end-to-end analytics with Microsoft Fabric
• Data teams and Microsoft Fabric
• Enable and use Microsoft Fabric
• Knowledge Check

Get started with lakehouses in Microsoft Fabric

• Explore the Microsoft Fabric Lakehouse
• Work with Microsoft Fabric Lakehouses
• Exercise - Create and ingest data with a Microsoft Fabric Lakehouse

Use Apache Spark in Microsoft Fabric

• Prepare to use Apache Spark
• Run Spark code
• Work with data in a Spark dataframe
• Work with data using Spark SQL
• Visualize data in a Spark notebook
• Exercise - Analyze data with Apache Spark

Work with Delta Lake Tables in Microsoft Fabric

• Understand Delta Lake
• Create delta tables
• Work with delta tables in Spark
• Use delta tables with streaming data
• Exercise - Use delta tables in Apache Spark

Ingest Data with DataFlows Gen2 in Microsoft Fabric

• Understand Dataflows (Gen2) in Microsoft Fabric
• Explore Dataflows (Gen2) in Microsoft Fabric
• Integrate Dataflows (Gen2) and Pipelines in Microsoft Fabric
• Exercise - Create and use a Dataflow (Gen2) in Microsoft Fabric