What to do with CI results in your dbt project?
Blog post from Datafold
The concluding article in this series on enhancing CI pipelines for dbt Core projects focuses on understanding and leveraging CI check results to improve project reliability and efficiency. It follows two previous discussions: one on creating a basic CI workflow with minimal code and another on developing a more sophisticated pipeline with additional integrations. Continuous Integration (CI) checks are vital for preventing problematic code from reaching production, although they can introduce workflow challenges for teams new to a testing culture. The article acknowledges the difficulty of achieving team buy-in for CI processes due to these added complexities, while also humorously referencing a data meme to encapsulate the essence of real-world projects.
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