Javatpoint Azure Data Factory Guide

At its heart, Azure Data Factory is designed for ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes. Unlike traditional tools, it provides a code-free or low-code environment where citizen integrators and data engineers can visually author complex workflows. These workflows are organized through pipelines , which are logical groupings of activities that perform specific tasks, such as copying data or running a Spark job.

Unlike Microsoft’s own modular, scenario-based learning, Javatpoint uses a approach. Each page starts with a bold heading like “What is a Pipeline?” followed by a short, bullet-proof definition, then a real-world analogy (e.g., “Think of a pipeline as an assembly line in a factory”), and finally a simple diagram (text-based or embedded image). javatpoint azure data factory