DP601: Implementing a Lakehouse with Microsoft Fabric Training Course

Foundations of End-to-End Analytics in Microsoft Fabric

• Introducing the Microsoft Fabric ecosystem
• Exploring the Lakehouse architectural model
• Mapping the complete analytics workflow

Initiating Lakehouse Implementation in Microsoft Fabric

• Key features and capabilities of the Lakehouse
• Steps for creating and configuring a new Lakehouse
• Process for ingesting data into Lakehouse tables

Integrating Apache Spark with Microsoft Fabric

• Setting up Apache Spark within the Fabric environment
• Harnessing Spark for large-scale distributed processing
• Performing data analysis and transformation via Spark DataFrames

Managing Delta Lake Tables in Microsoft Fabric

• Overview of Delta Lake technology and table structures
• Techniques for data versioning and management using Delta
• Executing complex data transformations and queries

Data Ingestion Strategies with Dataflows Gen2

• Understanding the capabilities of Dataflows Gen2
• Designing effective solutions for data ingestion
• Seamlessly integrating Dataflows into broader data pipelines

Orchestrating Pipelines with Data Factory in Microsoft Fabric

• Introduction to Data Factory pipeline mechanics
• Constructing and managing orchestrated data flows
• Automating data movement and transformation tasks