Feb 13, 2025 · In this document, we will primarily focus on learning fundamental concepts with various examples to explore the ability to create parameterized data pipelines within Azure Data Factory.

May 8, 2025 · In this article, we’ll explore how parameterization works in ADF, where to apply it, and walk through a real-life use case you’re likely to face in any production environment. In a real-world...

The two main methods are called parameters and variables, which can both be created in the configuration pane found by clicking on the background canvas of any pipeline.

Parameters in Azure Data Factory are dynamic elements that make pipelines, datasets, and linked services flexible and reusable. By leveraging parameters, you can create solutions that adapt to …

Sep 4, 2025 · Learn about pipeline parameters and variables in Azure Data Factory and Azure Synapse Analytics.

Jul 25, 2025 · Learn about pipeline parameters and variables in Azure Data Factory and Azure Synapse Analytics.

Nov 25, 2024 · Here’s an in-depth breakdown of Linked Service Parameters, Dataset Parameters, and Pipeline Parameters in Azure Data Factory (ADF), including their definitions, configurations, and...

Variables are internal values set inside a pipeline that can be changed using Set Variable or Append Variable Activity. It asks us to pass relativeURL paramter which we do via the variables defined …

Mapping data flows in Azure Data Factory and Synapse pipelines support the use of parameters. Define parameters inside of your data flow definition and use them throughout your expressions. The …

Jul 25, 2025 · By using parameters, you can reuse the same pipeline with different values each time. They can be used on their own or inside expressions, and those values can be either fixed or …