DP601: Implementing a Lakehouse with Microsoft Fabric Training Course

Foundations of End-to-End Analytics with Microsoft Fabric

• Brief introduction to the Microsoft Fabric ecosystem.
• Exploring the underlying Lakehouse architecture.
• The complete end-to-end analytics workflow.

Initiating Your Lakehouse Journey in Microsoft Fabric

• Key features and functional capabilities of Lakehouses.
• Steps to create and configure a new Lakehouse.
• Methods for ingesting data into Lakehouse tables.

Integrating Apache Spark within Microsoft Fabric

• Setup and configuration of Apache Spark services.
• Harnessing Spark for scalable, distributed data processing.
• Data analysis and transformation techniques using Spark DataFrames.

Managing Delta Lake Tables in Microsoft Fabric

• Overview of Delta Lake concepts and table structures.
• Strategies for data versioning and management using Delta Tables.
• Execution of data transformations and complex queries.

Data Ingestion via Dataflows Gen2 in Microsoft Fabric

• Functional overview of Dataflows Gen2 capabilities.
• Designing robust dataflow solutions for data ingestion.
• Seamless integration of dataflows into broader data pipelines.

Leveraging Data Factory Pipelines in Microsoft Fabric

• General overview of the Data Factory pipeline framework.
• Construction and orchestration of automated data pipelines.
• Automation of data movement and transformation processes.