This course provides a comprehensive guide to migrating from Azure Synapse Analytics to Microsoft Fabric. Participants will explore Fabric’s architecture, deployment patterns, and key benefits of migration. The course covers strategies, planning, and hands-on methods for migrating Dedicated SQL Pools, Spark workloads, and Data Pipelines to Fabric’s Data Warehouse, Lake house, and Data Factory.
Duration - 8 Hours
Level - Intermediate
Style - Self paced
Course Type - Project Ready with Labs
Certification - No
Hands on Labs - Yes
Solution Areas - Cloud & AI Platform, Unify Your Data Platform
Featured Product - Microsoft Fabric
Get an introduction to Microsoft Fabric and how it unifies data integration, engineering, warehousing, and analytics into a single platform for the AI era. Learn how to leverage OneLake, real-time analytics, and built-in AI capabilities to create a scalable, end-to-end data foundation for your organization.
Learn how to plan and execute the migration of Azure Synapse Analytics Dedicated SQL Pools to Microsoft Fabric Data Warehouse for a modern, unified analytics experience. Understand key considerations such as architecture mapping, data migration strategies, performance optimization, and cost efficiency to ensure a smooth transition.
Learn how to successfully migrate from Azure Synapse Analytics Dedicated SQL Pools to Microsoft Fabric Data Warehouse, including schema conversion, data transfer, and workload validation. Gain practical guidance on minimizing downtime, ensuring data integrity, and optimizing performance in your new Fabric environment.
Learn how to migrate Spark workloads from Azure Synapse Analytics to Microsoft Fabric, including notebook conversion, data integration, and environment setup. Understand best practices for optimizing performance, managing dependencies, and leveraging Fabric’s unified analytics and AI capabilities for modern data processing.
Learn how to migrate data integration workflows from Azure Synapse Analytics Pipelines and Azure Data Factory to Microsoft Fabric Data Factory, including pipeline conversion, connector mapping, and orchestration setup. Understand best practices for ensuring seamless data movement, minimizing disruption, and leveraging Fabric’s unified platform for scalable and efficient data operations.
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Last Updated 24 Apr 2026