Azure Data Factory | Continuous Integration & Deployment with Azure DevOps

Hi Kamil, Thanks for sharing the usefull information. I have a question If you can help with. We have a shared integration runtime that we are sharing with two data factories Dev and Prod. How can i deploy the release while using the same IR for both data factories. In the release pipeline while deploying to produciton i need to use powershell to first grant access to IR to the prod data factory and then deploy it. How i can use the powershell in this scenario. Thanks in advance

Very useful .. thanks for sharing .. how do you put check to ensure that you are not deleting any tables / other objects ? Assuming that code review process is not tight..

very useful, thank you for the walk through.

great step by step demo

Hi Kamil, i have a data lake storage which is authenticated thru service principal. i am struggling to assign the client secret in config-uat.csv to override parameter of linked services. could you pls help. thank you.

Hi Kamil,
what about Self-hosted Integration Runtimes?
IR does not work in the new Data Factory after deploying.
What is your idea how to fix it?

sir, I have created a feature branch in ADF but forget to delete it. When again I am developing new changes with this branch and pull into master I am getting merge conflict issue and also don't know how to delete my unused feature branch. Please help

Fantastic explanation, Kamil! I'm currently trying to implement CI on an ADF with a more complex structure (including a shared IntegrationRuntime from another factory and a linked service to a Databricks workspace) and multiple parameters/variables, and I hope your next video will give me some inspiration on how to create a solution.