datahub/metadata-ingestion/docs/sources/fivetran/fivetran_recipe.yml

source:
  type: fivetran
  config:
    # Fivetran log connector destination server configurations
    fivetran_log_config:
      destination_platform: snowflake
      # Optional - If destination platform is 'snowflake', provide snowflake configuration.
      snowflake_destination_config:
        # Coordinates
        account_id: "abc48144"
        warehouse: "COMPUTE_WH"
        database: "MY_SNOWFLAKE_DB"
        log_schema: "FIVETRAN_LOG"

        # Credentials
        username: "${SNOWFLAKE_USER}"
        password: "${SNOWFLAKE_PASS}"
        role: "snowflake_role"
      # Optional - If destination platform is 'bigquery', provide bigquery configuration.
      bigquery_destination_config:
        # Credentials
        credential:
          private_key_id: "project_key_id"
          project_id: "project_id"
          client_email: "client_email"
          client_id: "client_id"
          private_key: "private_key"
        dataset: "fivetran_log_dataset"

    # Optional - filter for certain connector names instead of ingesting everything.
    # connector_patterns:
    #   allow:
    #     - connector_name

    # Optional -- A mapping of the connector's all sources to its database.
    # sources_to_database:
    #   connector_id: source_db

    # Optional -- This mapping is optional and only required to configure platform-instance for source
    # A mapping of Fivetran connector id to data platform instance
    # sources_to_platform_instance:
    #   connector_id:
    #     platform_instance: cloud_instance
    #     env: DEV

    # Optional -- This mapping is optional and only required to configure platform-instance for destination.
    # A mapping of Fivetran destination id to data platform instance
    # destination_to_platform_instance:
    #   destination_id:
    #     platform_instance: cloud_instance
    #     env: DEV

sink:
  # sink configs