Azure Data Engineering

How to Build a Metadata-Driven Framework in Azure Data Factory? Introduction to Azure Data Engineer Azure Data Engineer solutions help businesses collect, process, and manage data from different sources. Many companies work with large amounts of data every day. They need a simple way to move this data into a central location without creating a separate pipeline for every table or file. A metadata-driven framework makes this work easier. It uses configuration details to control how data moves from one place to another. Professionals learning through an Azure Data Engineer Course can understand how this approach helps build reusable and easy-to-manage data pipelines. Instead of writing the same code again and again, developers can create one common pipeline that handles many data sources. How to Build a Metadata-Driven Framework in Azure Data Factory? 1. What Is a Metadata-Driven Framework? A metadata-driven framework is a method of managing data pipelines using configuration i...