dbt
You will discover these compiled SQL files in the target/ directory of one’s dbt project.
This folder contains all manual data which will be loaded to the database by dbt.
To load the .csv files in this folder to the database, you will have to run the dbt seed command.
This single way to obtain truth, combined with the capability to define tests for your data, reduces errors when logic changes, and
Instead, dbt handles turning these models into objects in your warehouse for you.
Most of the tests in a dbt project are defined in a .yml file under models.
If you start your project from scratch, running dbt init will create this apply for you.
If not, you could have to generate the .dbt folder and a profiles.yml file locally.
Follow dbt documentation or contact the repo owner in case you are unsure how to set up this file.
Spot the .yml and .doc files in the example above.
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All analysis moreover model will incorporate the same business logic without needing to reimplement it.
Build up reusable, or modular, data models which can be referenced in subsequent work instead of starting at the raw data with every analysis.
Sometimes though, these tests are not enough, and you have to write custom ones.
In that case, you would store those custom tests in the tests folder.
The test will pass if no row is returned and failed if a minumum of one or even more rows are returned.
- For anyone who is creating your project, change the project name and the profile name
- If other models are in-progress once the first model fails, then dbt will terminate the connections for these still-running models.
It is possible to define custom functions in the macros folder or override default macros and macros from the package.
Macros, together with Jinja templating, gives you many functionalities
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this list.
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Er code by leveraging macros, hooks, and package management.
examples of a good fit for dbt seed are yearly budget, status mappings, category mappings, etc.
Besides configuring the database connection, you can also configure a target.
Target is the way you have different configurations for different environments.
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