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README.md

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@@ -26,7 +26,7 @@ This package is perfect for dbt users who want to integrate Github data into the
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pip install dlt
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```
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2. **Configure the Pipeline:**
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Follow the dlt Github [pipeline documentation](https://dlthub.com/docs/dlt-ecosystem/verified-sources/github) to set up your pipeline. Ensure you have your Github API key and destination credentials configured.
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Follow the dlt [Github pipeline documentation](https://dlthub.com/docs/dlt-ecosystem/verified-sources/github) to set up your pipeline. Ensure you have your Github API key and destination credentials configured.
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3. **Run the Pipeline:**
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Extract and load data from GitHub using the GitHub events pipeline into your data wareshouse. As GitHub pipeline integrates multiple sources. Here, we will build a model for the `github_events` source. For more details on sources, refer to the [documentation](https://dlthub.com/docs/general-usage/source).
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#### Optional: Advanced Usage (Generator and Licensing)
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This package was created using the dlt-dbt-generator by dlt-plus. For more information about dlt-plus, refer to the
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[dlt-plus documentation.](https://dlt-plus.netlify.app/docs/plus/intro/). To learn more about the dlt-dbt-generator,
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[dlt-plus documentation.](https://dlt-plus.netlify.app/docs/plus/intro/) To learn more about the dlt-dbt-generator,
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consult the [dlt-dbt-generator](https://dlthub.com/blog/dbt-gen) documentation.
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> The dimensional modelling part of the package was created with a declarative code generator and suffers from

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