DP601: Implementing a Lakehouse with Microsoft Fabric Training Course

Introduction to End-to-End Analysis with Microsoft Fabric

• Brief overview of Microsoft Fabric
• Insights into the Lakehouse architecture
• The full analytics workflow from start to finish

Getting Started with Lakehouses in Microsoft Fabric

• Key features and capabilities of Lakehouses
• Steps to create and configure a Lakehouse
• Loading data into Lakehouse tables

Using Apache Spark in Microsoft Fabric

• Setting up Apache Spark within Microsoft Fabric
• Utilizing Spark for distributed data processing
• Performing data analysis and transformations using Spark DataFrames

Working with Delta Lake Tables in Microsoft Fabric

• Basics of Delta Lake and Delta Tables
• Handling data versioning and management via Delta Tables
• Executing data transformations and queries

Ingesting Data with Dataflows Gen2 in Microsoft Fabric

• Functional capabilities of Dataflows Gen2
• Designing dataflow strategies for ingestion
• Incorporating Dataflows into broader data pipelines

Using Data Factory Pipelines in Microsoft Fabric

• Overview of Data Factory pipeline functionality
• Constructing and coordinating data pipelines
• Automating data movement and transformation tasks