Working with Azure Data Factory (ADF) enables me to build and monitor my Extract Transform Load (ETL) workflows in Azure. My ADF pipelines is a cloud version of previously used ETL projects in SQL Server SSIS.
And prior to this point, all my sample ADF pipelines were developed in so-called “Live Data Factory Mode” using my personal workspace, i.e. all changes had to be published in order to be saved. This hasn’t been the best practice from my side, and I needed to start using a source control tool to preserve and version my development code.
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