Event-driven architecture allows distributed, microservice-based applications to scale seamlessly and enables independent development teams to collaborate and contribute cohesively. However, this type of architecture requires additional processing to ensure data accuracy, as duplicate events can occur due to network outages and retries. Deduplication processes eliminate these duplicates, ensuring that no event is processed twice and freeing up the application to handle other important tasks. dbt is a transformation tool that provides an integrated development environment, testing support, continuous integration/continuous deployment practices, and version control, making it suitable for implementing deduplication in Snowflake. By identifying unique attributes of data objects and using a combination key, dbt can help eliminate duplicate events in event-driven applications, ensuring accurate reporting and reducing storage space usage.