DP-601: Implementing a Lakehouse with Microsoft Fabric Course Outline
Special Note to New Hampshire ResidentsThis course has not yet been approved by the New Hampshire Department of Education. Please contact us for an update on when the class will be available in New Hampshire.
Overview
Unlock the potential of data analytics with this comprehensive course on implementing a lakehouse using Microsoft Fabric. Participants will explore how Microsoft Fabric integrates data lake flexibility with data warehouse analytics, providing a robust solution for end-to-end enterprise analytics. Through hands-on exercises and detailed lessons, you'll learn to leverage Microsoft Fabric for creating, managing, and optimizing data lakehouses, enhancing your analytics capabilities.
This course delves into key technologies like Apache Spark and Delta Lake, guiding you through their implementation and usage within Microsoft Fabric. By the end of the course, you'll be proficient in data ingestion, transformation, and orchestration using advanced tools and techniques, positioning yourself to drive impactful data-driven decisions within your organization.
Audience Profile
This course is ideal for data professionals, data engineers, and analytics practitioners looking to enhance their skills in modern data architectures. It is also beneficial for IT managers and business analysts seeking to implement robust data solutions using Microsoft Fabric.
Prerequisites
You should be familiar with basic data concepts and terminology.
COURSE OUTLINE
Module 1: 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
Module 2: Get started with lakehouses in Microsoft Fabric
Explore the Microsoft Fabric Lakehouse
Work with Microsoft Fabric Lakehouses
Explore and transform data in a lakehouse
Exercise - Create and ingest data with a Microsoft Fabric Lakehouse
Module 3: 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
Module 4: 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
Module 5: 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
Module 6: Use Data Factory pipelines in Microsoft Fabric
Understand pipelines
Use the Copy Data activity
Use pipeline templates
Run and monitor pipelines
Exercise - Ingest data with a pipeline
Module 7: Organize a Fabric lakehouse using medallion architecture design
Describe medallion architecture
Implement a medallion architecture in Fabric
Query and report on data in your Fabric lakehouse
Considerations for managing your lakehouse
Exercise - Organize your Fabric lakehouse using a medallion architecture
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ADP601