DP601: Implementing a Lakehouse with Microsoft Fabric Training Course

Foundations of End-to-End Analytics with Microsoft Fabric

• Introductory overview of the Microsoft Fabric ecosystem
• Exploring the structure of the Lakehouse architecture
• Mapping the end-to-end analytics workflow

Launching into Microsoft Fabric Lakehouses

• Examining the primary features and capabilities of Lakehouses
• Steps for creating and setting up a new Lakehouse
• Populating Lakehouse tables with incoming data

Integrating Apache Spark within Microsoft Fabric

• Configuring Apache Spark settings in the Fabric environment
• Utilizing Spark for efficient distributed data processing
• Performing analysis and data transformation via Spark DataFrames

Managing Delta Lake Tables in Microsoft Fabric

• Overview of Delta Lake concepts and Delta table structures
• Handling data versioning and lifecycle management with Delta tables
• Executing data transformations and running queries

Data Ingestion via Dataflows Gen2 in Microsoft Fabric

• Reviewing the functionality and benefits of Dataflows Gen2
• Designing effective dataflow strategies for data ingestion
• Embedding Dataflows seamlessly into broader data pipelines

Deploying Data Factory Pipelines in Microsoft Fabric

• Introduction to the capabilities of Data Factory pipelines
• Constructing and orchestrating robust data pipelines
• Streamlining the automation of data movement and transformation