Data Engineering with Azure Data Factory and CI/CD

Managing data at scale requires more than just moving files; it requires a robust orchestration strategy. This course provides a clear path to understanding how to build, manage, and automate data workflows using Azure Data Factory. You will transition from a beginner to a practitioner capable of designing production-grade data pipelines. Through written explanations and practical exercises, you will learn to handle diverse data sources and implement professional automation standards that are essential in today’s data engineering landscape. What you'll learn: - Understand core data integration concepts and the Data Factory architecture. - Build pipelines to ingest and transform data from various cloud and on-premises sources. - Configure Continuous Integration and Continuous Delivery (CI/CD) using Git and DevOps principles. - Implement parameters and variables to create reusable and dynamic workflows. - Practice monitoring and troubleshooting techniques to maintain healthy data flows. - Apply modern security best practices, including managed identities and private networking. The course begins with foundational terminology and interface navigation before moving into hands-on pipeline construction and advanced automation strategies. It is specifically designed for beginners and IT professionals looking to enter the data engineering field, requiring no previous cloud orchestration experience. Begin building reliable and automated data solutions today.