Azure Functions now supported as a step in Azure Data Factory pipelines

Azure Functions is a serverless compute service that enables you to run code on-demand without having to explicitly provision or manage infrastructure. Using Azure Functions, you can run a script or piece of code in response to a variety of events. Azure Data Factory (ADF) is a managed data integration service in Azure that allows you to iteratively build, orchestrate, and monitor your Extract Transform Load (ETL) workflows. Azure Functions is now integrated with ADF, allowing you to run an Azure function as a step in your data factory pipelines.

Simply drag an “Azure Function activity” to the General section of your activity toolbox to get started.

You need to set up an Azure Function linked service in ADF to create a connection to your Azure Function app.

Provide the Azure Function name, method, headers, and body in the Azure Function activity inside your data factory pipeline.

You can also parameterize your function name using rich expression support in ADF. Get more information and detailed steps on using Azure Functions in Azure Data Factory pipelines.

Our goal is to continue adding features and improve the usability of Data Factory tools. Get started building pipelines easily and quickly using Azure Data Factory. If you have any feature requests or want to provide feedback, please visit the Azure Data Factory forum.

Source: Big Data