Data Governance and Security in Azure Data Factory

As organizations migrate critical workloads to the cloud, securing data integration pipelines becomes paramount. Understanding how to manage, monitor, and protect data moving through Azure Data Factory is an essential skill for modern data professionals. This text-only course guides you through the foundational principles of data governance, access control, and regulatory compliance. You will transition from understanding basic data integration to confidently designing secure, compliant pipelines that align with modern security frameworks. What you will learn: - Understand core data governance terminology and foundational security concepts in cloud environments. - Configure secure connections and manage credentials using Azure Key Vault integration. - Implement role-based access control and least-privilege access patterns for data pipelines. - Apply data masking, encryption-at-rest, and transit security practices to protect sensitive information. - Establish comprehensive monitoring, auditing, and threat detection workflows for pipeline execution. - Align data integration processes with modern compliance standards and zero-trust security frameworks. You will start with essential definitions and governance theory before exploring step-by-step written explanations on configuring secure endpoints, managing keys, and auditing pipeline activities. This course is designed for beginning data engineers, cloud administrators, and security professionals who want to understand data protection principles within Azure Data Factory. No prior cloud security experience is required. Start reading today to build secure and compliant data integration pipelines.