Data Integration at Scale with Azure Data Factory and Synapse

In today's data-driven world, organizations must process and integrate massive volumes of data from diverse sources. This text-based course provides a clear, step-by-step introduction to cloud data integration using Azure Data Factory and Azure Synapse Pipelines. You will transition from understanding basic data concepts to designing, building, and managing robust data pipelines that scale. By reading through practical examples and structural breakdowns, you will gain the confidence to orchestrate complex data flows. What you'll learn: * Understand core data integration concepts, including ETL/ELT patterns and hybrid architectures * Configure linked services, datasets, and activities to connect diverse data sources * Build scalable data pipelines using control flow activities, variables, and parameters * Implement security best practices using managed identities and key vault integrations * Monitor pipeline execution, debug failures, and set up alerts for operational reliability * Apply modern Git integration and CI/CD concepts to manage your pipeline code We begin by establishing a solid foundation of key terminology, cloud data concepts, and core architectural components. From there, you will explore pipeline design, data movement, transformation activities, and essential security patterns. This course is designed for aspiring data engineers, database administrators, and IT professionals who are new to cloud-scale data integration. No prior cloud engineering experience is required. Start building robust, enterprise-grade data pipelines today.