Airbyte, dbt and Prefect (PAD) Stack with Databricks

### Advanced Data Operations with Airbyte, dbt, Prefect and Databricks.

Create advanced data operations by extracting data with Airbyte, transforming it with dbt, and orchestrating the end-to-end workflow using Prefect, optimizing for scalability and maintainability.

How to get started:

- Check out the [README](https://github.com/airbytehq/quickstarts/tree/main) and the [Contribution instructions](https://github.com/airbytehq/quickstarts/blob/main/CONTRIBUTING.md) in this repo.
- Check one of the [existing quickstarts](https://github.com/airbytehq/quickstarts#list-of-available-quickstarts) and observe their structure.
- (Optional, but highly recommended) Implement one of the quickstarts by following the instructions in their README. I recommend starting with [E-commerce analytics in BigQuery](https://github.com/airbytehq/quickstarts/tree/main/ecommerce_analytics_bigquery)