Maia help

The {{ no such element: dict object['component_name'] }} component uses the Connect and Configure parameters to create a table of {{ no such element: dict object['service_name'] }} data, which is then stored in your preferred storage location (Snowflake, Databricks, Amazon Redshift, or cloud storage). You do not need to use the Create Table component when using this connector, as the {{ no such element: dict object['component_name'] }} component will create a new table or replace an existing table for you using the Destination parameters you define.

This page describes how to configure the {{ no such element: dict object['service_name'] }} connector component as part of a data pipeline within Designer. The {{ no such element: dict object['component_name'] }} component uses the Connect and Configure parameters to create a table of {{ no such element: dict object['service_name'] }} data, which is then stored in your preferred storage location (Snowflake, Databricks, Amazon Redshift, or cloud storage). You do not need to use the Create Table component when using this connector, as the {{ no such element: dict object['component_name'] }} component will create a new table or replace an existing table for you using the Destination parameters you define.

This page describes how to configure your custom connector component as part of a data pipeline within Designer. Custom connector components uses the Connect and Configure parameters to create a table of data from the service you custom connector connects to, which is then stored in your preferred storage location (Snowflake, Databricks, Amazon Redshift, or cloud storage). You do not need to use the Create Table component when using this connector, as the custom connector component will create a new table or replace an existing table for you using the Destination parameters you define.