Can we setup mannual approval in Azure Datafactory

Vikrant Vikrant 0 Reputation points

I have setup a Data pipeline in Azure data factory for my staging Env. now i want to increase it's task.
After deploying on staging Env i want it should also deploy new changes in my production Env but i want a mannual approval to start deployment on production env. in Azure data factory as we do in Azure devops pipeline

Azure Databricks
Azure Databricks
An Apache Spark-based analytics platform optimized for Azure.
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Azure Data Factory
Azure Data Factory
An Azure service for ingesting, preparing, and transforming data at scale.
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  1. AnnuKumari-MSFT 31,731 Reputation points Microsoft Employee

    Hi Vikrant Vikrant ,

    Thankyou for your query on Microsoft Q&A platform .

    As I understand, you are trying to deploy your ADF pipeline to prod environment and before deployment you want to have approval process so that the authorized person can approve or reject the deployment request to prod after validation. Please let me know if that is not the ask here.

    In addition to Prrudram-MSFT 's suggestion, I would like to add few points . First of all, you can't directly deploy from stage to Prod since stage env won't be connected to GIT. It's only Dev env which should be connected to Git repository and the ARM template of Dev should be deployed to all the higher environments like UAT, Stage and Prod.

    Once the Dev env is configured with Git , it publishes the ARM template to the adf_publish branch , the same json is pushed to higher env. So, when you create the release pipeline , it creates the artifact for deployment.

    Coming to pre-deployment approval, you can add the DLs of the authorized person such as manager or lead to request for approvals under 'pre-deployment approvals' option:

    User's image

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    For more details, kindly watch out the following video: Continuous integration and delivery in azure data factory | CI/CD in ADF

    Kindly accept the answer by clicking on Accept answer button if it is helpful. Thankyou

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