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fivetran-joemarkiewicz authored Aug 27, 2024
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# Apple App Store Source dbt Package ([Docs](https://fivetran.github.io/dbt_apple_store_source/))
## What does this dbt package do?
- Materializes [Apple App Store staging tables](https://fivetran.github.io/dbt_apple_store_source/#!/overview/github_source/models/?g_v=1) which leverage data in the format described by [this ERD](https://fivetran.com/docs/connectors/applications/apple-app-store#schemainformation). These staging tables clean, test, and prepare your Apple App Store data from [Fivetran's connector](https://fivetran.com/docs/applications/apple-app-store) 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 Apple App Store data through the [dbt docs site](https://fivetran.github.io/dbt_apple_store_source/).
- These tables are designed to work simultaneously with our [Apple App Store transformation package](https://github.com/fivetran/dbt_apple_store).

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