DP601: Implementing a Lakehouse with Microsoft Fabric Training Course

Introduction to End-to-End Analysis with Microsoft Fabric

• Introduction to Microsoft Fabric
• Concepts behind the Lakehouse Architecture
• The End-to-End Analytics Lifecycle

Getting Started with Lakehouses in Microsoft Fabric

• Key features and capabilities of Lakehouses
• Process for creating and configuring a Lakehouse
• Loading data into Lakehouse tables

Using Apache Spark in Microsoft Fabric

• Setup and configuration of Apache Spark within Microsoft Fabric
• Applying Spark for distributed data processing
• Performing analysis and transformations using Spark DataFrames

Working with Delta Lake Tables in Microsoft Fabric

• Fundamentals 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

• Features and capabilities of Dataflows Gen2
• Structuring dataflow solutions for effective ingestion
• Incorporating Dataflows into broader data pipelines

Using Data Factory Pipelines in Microsoft Fabric

• Overview of Data Factory pipeline functionality
• Construction and orchestration of data pipelines
• Automation of data movement and transformation tasks