GIT Configuration and Automated Release for Azure Data Factory

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GIT Configuration and Automated Release for Azure Data Factory

September 20, 2024 at 11:43 am

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September 20, 2024 at 11:43 am

This was removed by the editor as SPAM
September 20, 2024 at 11:44 am

This was removed by the editor as SPAM
September 21, 2024 at 10:42 am

This was removed by the editor as SPAM
Sucharita Das

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September 23, 2024 at 12:00 am

#4293830

Comments posted to this topic are about the item GIT Configuration and Automated Release for Azure Data Factory

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Phil Parkin SSC Guru Points: 246960 More actions · Answer 1

I'm working on this very topic, so this article was timely.

There is a statement in the article: "The template parameters can be overridden as required" which may not be as simple as it sounds.

By default, a selection of parameters are available to be overridden – the DF name and connection strings, for example. But if you want to override a parameter which is not included by default, things get tricky and I'm still working through how to do it.

The absence of evidence is not evidence of absence
- Martin Rees
The absence of consumable DDL, sample data and desired results is, however, evidence of the absence of my response
- Phil Parkin

coreballcore SSC Rookie Points: 36 More actions · Answer 2

GIT Configuration in Data Factory helps in Version Control of the code and publishing the code in the Publish Branch of Azure DevOps. Release Pipelines help in deployment of the code in higher environments using manual or scheduled trigger.There are several instances where you may need to create a new data factory. This may be to develop in, or at least revise the source of your existing data factory and bring in a new repo.

Coreball

Phil Parkin SSC Guru Points: 246960 More actions · Answer 3

Sucharita Das wrote:

Comments posted to this topic are about the item GIT Configuration and Automated Release for Azure Data Factory, which is is not currently available on the site.

It's available to me.

https://www.sqlservercentral.com/articles/git-configuration-and-automated-release-for-azure-data-factory

The absence of evidence is not evidence of absence
- Martin Rees
The absence of consumable DDL, sample data and desired results is, however, evidence of the absence of my response
- Phil Parkin

HaroldWolfe Grasshopper Points: 12 More actions · Answer 4

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