Creating and Managing Azure Data Factory Instances

Modern cloud data engineering relies on robust orchestration to move and transform data at scale. Setting up your environment correctly from day one is essential to building reliable data pipelines. This text-based course guides you through the foundational steps of creating and managing Azure Data Factory instances. You will start by understanding core cloud data integration concepts and key architectural terminology. Next, you will master the step-by-step process of provisioning instances using both the visual Azure Portal interface and the command-line interface (CLI). You will also learn how to configure secure access, set up version control integration, and verify that your deployment is ready for production workloads. What you will learn: Understand foundational data integration concepts and resource structures; Configure Azure Data Factory instances using the Azure Portal; Deploy and manage resources programmatically using Azure CLI commands; Implement basic security practices and access controls; Connect Git repositories for modern version control workflows; Verify deployment status and run initial connectivity tests. The course begins with essential definitions and security prerequisites, then moves into hands-on configuration scenarios using the portal, and concludes with command-line automation techniques. This course is designed for aspiring data engineers, cloud administrators, and database professionals who are new to Azure Data Factory. No prior cloud orchestration experience is required. Start building your cloud data integration foundation today.