Running Existing SSIS Packages in Azure Data Factory and Synapse

Transitioning your on-premises data workflows to the cloud does not mean rewriting everything from scratch. You can leverage your existing SSIS investments by running them directly in modern cloud environments. This course teaches you how to lift and shift your existing SSIS packages into Azure Data Factory and Azure Synapse Analytics pipelines. You will understand how to set up the necessary cloud infrastructure, configure secure execution environments, and monitor your packages for optimal performance. What you'll learn: Understand the architecture of Azure-SSIS Integration Runtimes and how they execute legacy packages; Configure secure connections to your source databases using Key Vault and Managed Identities; Deploy SSIS packages to the SSIS Catalog hosted in the cloud; Execute packages using Azure Data Factory and Azure Synapse pipeline activities; Monitor execution logs and troubleshoot common migration errors; Apply modern performance tuning practices to optimize cloud-based data integration. Starting with core concepts and cloud architecture, this text-based course guides you through setup, deployment, and pipeline integration step-by-step. You will work through detailed written walkthroughs and configuration scenarios to build real-world migration skills. This course is designed for database administrators, data engineers, and BI developers who are new to cloud migrations, with no prior cloud experience required. Start your journey toward modern cloud data integration today.