Azure Data Factory | Continuous Integration & Deployment with Azure DevOps

Building CI/CD process for Azure Data Factory is not quite straightforward. Furthermore, there are a few different methods of doing that. Before we begin doing that, we must set up GIT repository associated with ADF, understand what's the differences between save and publish, and why new branch appears.
The basic knowledge of ARM templates also would be beneficial.
During this video, I will explain one of the methods recommended by Microsoft.

00:00 Intro
01:05 Existing ADF review
02:17 Publishing ADF changes
03:14 Create Build Pipeline (master branch)
05:29 Create Release Pipeline
06:47 Task: Create RG & instance of ADF
11:36 Task: Deploy ARM Template
17:10 Connection to Storage Account
18:40 Prep files for demo
20:13 adf_publish branch
21:38 Change & re-deploy
24:23 Outro

The series about ADF on SQLPlayer blog: https://sqlplayer.net/category/big-data/azure-data-factory/
Azure CLI Reference: https://docs.microsoft.com/en-us/cli/azure/reference-index
Continuous integration and delivery in Azure Data Factory: https://docs.microsoft.com/en-us/azure/data-factory/continuous-integration-deployment

PS. Don't worry about my security. I have already changed all the keys you could have seen in the video. :)

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Видео Azure Data Factory | Continuous Integration & Deployment with Azure DevOps канала Kamil Data Geek - Azure explained