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docs/website/blog/2024-03-25-reverse_etl_dlt.md

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@@ -172,9 +172,9 @@ credentials_json = '''
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sheets_id = "1xj6APSKhepp8-sJIucbD9DDx7eyBt4UI2KlAYaQ9EKs"
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```
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### Step 4: Running the pipeline in `my_pipeline.py`(10min)
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### Step 4: Running the pipeline in `sheets_destination.py`(10min)
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Now, assuming you have a source function **`sql_database()`** from the verified sources, you can set up and run your pipeline as follows:
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Now, assuming you have a source function **`dict_row_generator()`**, you can set up and run your pipeline as follows:
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```py
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# ... destination code from above

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