Data Governance and Security for Azure Data Factory

Protecting sensitive data and ensuring regulatory compliance are critical when building modern cloud data pipelines. This text-based course helps you master the core principles of data governance and security specifically tailored for Azure Data Factory. You will transition from understanding basic data movement to designing secure, compliant, and well-governed data integration workflows. By reading through detailed architectural patterns and analyzing real-world security scenarios, you will gain the confidence to protect data at rest and in transit. What you'll learn: Understand foundational data security principles, including encryption standards and network isolation; Configure secure authentication using Managed Identities and Azure Key Vault integration; Implement network security controls such as private endpoints and self-hosted integration runtimes; Apply data governance practices by integrating pipelines with Purview for lineage tracking; Manage access control using role-based permissions and the principle of least privilege; Analyze security scenarios to identify vulnerabilities and enforce compliance policies. The course begins with essential security terminology and baseline configurations before guiding you through network isolation and governance integration. You will reinforce your knowledge through text-based scenario analyses and structured conceptual exercises. This course is designed for beginner data engineers, cloud administrators, and security specialists who are new to data integration. No prior experience with Azure Data Factory security is required. Start reading today to build secure, enterprise-grade data pipelines.