From Metadata to Metrics, Utilizing dbt API to create actionable metrics and SLOs for your data org

From Metadata to Metrics, Utilizing dbt API to create actionable metrics and SLOs for your data org

Photo by Moises Gonzalez on Unsplash

In this blog post, we will be sharing the presentation made by our analytics engineers for the dbt labs Berlin November Meetup.

Are there tangible ways to measure the reliability of your data pipeline and the efficiency of your analytics engineers? At Tier Mobility, we use the dbt API to fetch metadata of our models and take it all the way to our visualisation tool Looker conveying the state of our infrastructure to Data Management. Metadata analysis helps our data teams to optimize their models, track the impact of their initiatives, and reduce costs. This talk covers the process of using the dbt Cloud API to track the performance of your dbt project and translate metadata into metrics and SLOs for your data org.

Please find the whole deck of slides below.

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From Metadata to Metrics, Utilizing dbt API to create actionable metrics and SLOs for your data org
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