Scale Data Pipelines with Azure Data Factory

Modern businesses generate massive amounts of data, but transforming and moving this data often requires complex programming and extensive engineering resources. This text-based course guides you through Azure Data Factory, a powerful cloud-based integration service that lets you build robust data pipelines visually. You will learn to design, orchestrate, and monitor scalable data workflows without writing a single line of code. By understanding how to connect diverse data sources, transform raw inputs, and load them into analytical storage, you will be equipped to manage enterprise-grade data integration projects. What you'll learn: Understand core cloud data integration concepts and the Azure Data Factory architecture; Configure linked services and datasets to connect structured, semi-structured, and unstructured data sources; Build code-free data transformation pipelines using visual mapping data flows; Orchestrate complex workflows with triggers, parameters, and conditional execution; Monitor pipeline runs and configure alerts to ensure reliable data delivery; Apply modern data practices, including basic security configurations and pipeline deployment strategies. This course begins with foundational definitions of cloud data integration and data lakes before moving on to step-by-step written guides for building and scheduling your first visual pipelines. You will progress from simple data copies to advanced, scalable transformations and monitoring configurations. Designed for beginner data analysts, business intelligence professionals, and aspiring data engineers, no prior coding experience or cloud background is required. Start learning today and unlock the power of visual data engineering.