For my first appearance on the Altius Data Lounge show I talk about and demonstrate the ‘out-of-the-box’ capabilities within Azure Data Factory for Git integration and how to publish developed pipelines.
In my demo you’ll see what each of the developer UI toolbar functions means in the context of the code repository and what happens behind the scenes when the JSON from the data factory debug area get deployed to the live Azure resource.
Have you ever wondered where the adf_publish branch came from? Here’s the answer:
I’m hoping to return to the Data Lounge in the near future to follow up on this episode with more content about deploying Data Factory to multiple environments, described in this episode as option 2.
Principal consultant and architect specialising in big data solutions on the Microsoft Azure cloud platform.
Data engineering competencies include Azure Data Factory, Data Lake, Databricks, Stream Analytics, Event Hub, IoT Hub, Functions, Automation, Logic Apps and of course the complete SQL Server business intelligence stack.
Many years’ experience working within healthcare, retail and gaming verticals delivering analytics using industry leading methods and technical design patterns.
STEM ambassador and very active member of the data platform community delivering training and technical sessions at conferences both nationally and internationally.
Father, husband, swimmer, cyclist, runner, blood donor, geek, Lego and Star Wars fan!
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2 thoughts on “Deploying Azure Data Factory in a Single Service Environment (Option 1)”
Thank you so much for sharing this.
Do you recommend or use multiple projects ( sql server db / data bricks & data factory ) in one git repository?
Thank you so much for sharing this.
Do you recommend or use multiple projects ( sql server db / data bricks & data factory ) in one git repository?
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Good sharing!. I am looking forward to watching the options 2 episode. Thanks!
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