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Jan 16, 2025
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Feature: Add Quickstart Model Counts to README #60

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MagicBot/add-model-counts updates
fivetran-catfritz Jan 7, 2025
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Update README.md
fivetran-catfritz Jan 7, 2025
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fivetran-avinash Jan 16, 2025
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6 changes: 6 additions & 0 deletions CHANGELOG.md
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@@ -1,3 +1,9 @@
# dbt_github version.version

## Documentation
- Added Quickstart model counts to README. ([#60](https://github.com/fivetran/dbt_github/pull/60))
- Corrected references to connectors and connections in the README. ([#60](https://github.com/fivetran/dbt_github/pull/60))

# dbt_github v0.8.1
This release contains the following updates:

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7 changes: 5 additions & 2 deletions README.md
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Expand Up @@ -34,13 +34,16 @@ The following table provides a detailed list of all tables materialized within t
| [github__weekly_metrics](https://fivetran.github.io/dbt_github/#!/model/model.github.github__weekly_metrics) | Each record represents a single week and repository, enriched with metrics about PRs and issues that were created and closed during that period. |
| [github__monthly_metrics](https://fivetran.github.io/dbt_github/#!/model/model.github.github__monthly_metrics) | Each record represents a single month and repository, enriched with metrics about PRs and issues that were created and closed during that period. |
| [github__quarterly_metrics](https://fivetran.github.io/dbt_github/#!/model/model.github.github__quarterly_metrics) | Each record represents a single quarter and repository, enriched with metrics about PRs and issues that were created and closed during that period. |

### Materialized Models
Each Quickstart transformation job run materializes 34 models if all components of this data model are enabled. This count includes all staging, intermediate, and final models materialized as `view`, `table`, or `incremental`.
<!--section-end-->

## How do I use the dbt package?
### Step 1: Prerequisites
To use this dbt package, you must have the following:

- At least one Fivetran Github connector syncing data into your destination.
- At least one Fivetran Github connection syncing data into your destination.
- A **BigQuery**, **Snowflake**, **Redshift**, **PostgreSQL**, or **Databricks** destination.

#### Databricks Dispatch Configuration
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```

### Step 4: Disable models for non-existent sources
Your Github connector might not sync every table that this package expects. If your syncs exclude certain tables, it is because you either don't use that functionality in Github or have actively excluded some tables from your syncs.
Your Github connection might not sync every table that this package expects. If your syncs exclude certain tables, it is because you either don't use that functionality in Github or have actively excluded some tables from your syncs.

If you do not have the `REPO_TEAM` table synced, add the following variable to your `dbt_project.yml` file:

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