ADF – Continuous Integration & Deployment with Azure DevOps

ADF – 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.

Previous ASF 029: Tomaz Kastrun interview
Next ASF 030: Benni De Jagere interview

About author

Kamil Nowinski
Kamil Nowinski 200 posts

Blogger, speaker. Data Platform MVP, MCSE. Senior Data Engineer & data geek. Member of Data Community Poland, co-organizer of SQLDay, Happy husband & father.

View all posts by this author →

You might also like

DevOps 10 Comments

How to create DACPAC file?

In this post, I will explain what the DACPAC is and how to create it. In the previous post in DevOps series, I described how to create a new, empty

Azure Data Factory 13 Comments

Mapping Data Flow in Azure Data Factory (v2)

Azure Data Factory is more of an orchestration tool than a data movement tool, yes. It’s like using SSIS, with control flows only. Once they add Mapping Data Flows to

General 4 Comments

Skirmishes with automated deployment of Azure Data Factory

When it comes to Azure Data Factory deployment, I always have a few words to say. You might be aware that there are two approaches in this terms. I was

1 Comment

Leave a Reply