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One Way to Incrementally Develop ADF Pipelines

Posted on July 16, 2020Updated on August 14, 2020by Andy LeonardCategories:ADF, Summer.ADF.2020

A friend pinged me recently to ask about rolling back Azure Data Factory (ADF) pipeline versions. My response was a question: Are you using source control with ADF? That did not help the current situation.

I thought of the way I often build ADF pipelines and shared my methodology, which is relatively simple (it has to be simple for me to understand it!):

Building Incrementally

I start by building a pipeline and getting something – anything – to work. Next, I click the ellipsis beside my pipeline in the Factory Resources blade and then click “Clone”:

I add some more functionality and get it working, and then I rinse and repeat – cloning this new version of the pipeline.

If I hit a snag, I decide whether to clone the current (snag-y) pipeline and beat work on it some more from where I’m stuck, or simply back up a step and clone a fresh copy of the pipeline when it last worked.

When I’m done, I delete pipelines I do not need.

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Andy Leonard

andyleonard.blog

Christian, husband, dad, grandpa, Data Philosopher, Data Engineer; Azure Data Factory, Fabric Data Factory, and SSIS guy; and farmer. I was cloud before cloud was cool. :{>

2 thoughts on “One Way to Incrementally Develop ADF Pipelines”

  1. Pingback: Incremental Pipline Development with Azure Data Factory – Curated SQL
  2. Andrew J. Kelly says:
    July 17, 2020 at 1:25 pm

    Cool Andy. I didn’t know about the clone functionality but then again I have just started with ADF. This is a great tip.

    Reply

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