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  1. Nov 2020
    1. What is dbt?dbt was created by Fishtown Analytics to enable data analysts to build well-defined data transformations in an intuitive, testable, and versioned environment.Users build transformations (called models) defined in templated SQL. Models defined in dbt can refer to other models, forming a dependency graph between the transformations (and the tables or views they produce). Models are self-documenting, easy to test, and easy to run. And the dbt tooling can use the graph defined by models’ dependencies to determine the ancestors and descendants of any individual model, so it’s easy to know what to recompute when something changes.

      one of the [[benefits of [[dbt]]]] is that the [[data transformations]] or [[data models]] can refer to other models, and help show the [[dependency graph]] between transformatios

    1. Marketers have been told that attribution is a data problem -- “Just get the data and you can have full knowledge of what’s working!” -- when really it’s a data modeling problem. The logic of your attribution model, what the data represents about your business, is as important as the data volume. And the logic is going to change based on your business. That’s why so many attribution products come up short.

      attribution isn't a data problem, it's a data modeling problem]] - it's not just the data, but what the data represents about your business.