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fivetran-joemarkiewicz authored Aug 27, 2024
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## What does this dbt package do?
<!--section="github_source_model"-->
- Materializes [Github staging tables](https://fivetran.github.io/dbt_github_source/#!/overview/github_source/models/?g_v=1&g_e=seeds) which leverage data in the format described by [this ERD](https://fivetran.com/docs/applications/github/#schemainformation). These staging tables clean, test, and prepare your Github data from [Fivetran's connector](https://fivetran.com/docs/applications/github) for analysis by doing the following:
- Name columns for consistency across all packages and for easier analysis
- Adds freshness tests to source data
- Adds column-level testing where applicable. For example, all primary keys are tested for uniqueness and non-null values.
- Name columns for consistency across all packages and for easier analysis
- Adds freshness tests to source data
- Adds column-level testing where applicable. For example, all primary keys are tested for uniqueness and non-null values.
- Generates a comprehensive data dictionary of your Github data through the [dbt docs site](https://fivetran.github.io/dbt_github_source/).
- These tables are designed to work simultaneously with our [Github transformation package](https://github.com/fivetran/dbt_github).
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