When working on a data team, it's one thing to build the code, it's another to plan and strategize your deployment approach.

And over the years I've worked on a handful of different teams where the strategies have been different, whether it's because of personal preference or the technology chosen.

So in this video, I've compiled three of the most common approaches that I've seen to help you understand common strategies teams are taking.

This video will be based off of a dbt (data-build-tool) project, which is a data transformation tool.

But these approaches and concepts can work regardless of tool selection.

Thank you for watching!

The Starter Guide for dbt™ - https://bit.ly/3Lu1uOr

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▬▬▬▬▬▬ T I M E S T A M P S ⏰ ▬▬▬▬▬▬
0:00 - Intro
0:48 - Separate Source Data
1:14 - All-in-one
2:23 - Isolated Development

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► The Starter Guide for dbt™ - https://bit.ly/3Lu1uOr


Data Deployment Strategies (3 approaches)
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