implementing-warehouse-sources

To add a new data source to the PostHog Data Warehouse, define the source configuration, implement the transport logic for API interactions, handle pagination, and validate credentials to enable seamless data ingestion.

Implementing incremental sync for data warehouse import sources involves extending existing source configurations with new endpoints and datasets, ensuring only new or updated records are fetched during each data pipeline execution.

Integrating an API-backed source for data ingestion requires defining source schemas, implementing REST transport logic to interact with the external API, handling pagination, and validating API credentials for secure data import.

Yes, you can extend existing data warehouse sources by adding new datasets and endpoints to their configurations, enabling broader ETL coverage and supporting incremental sync capabilities for the new data.

Testing data pipeline sources for API-backed REST integrations involves writing comprehensive tests that validate credential authentication, verify pagination logic, and ensure the transport layer correctly fetches and maps data warehouse schemas.