Zendesk Chat Extract

Zendesk Chat Extract


This article is specific to the following platforms - Redshift - Snowflake.

Zendesk Chat

The Zendesk Chat Extract component uses the Zendesk Chat API to retrieve and store data to be referenced by an External Table loaded into a table. Users can then transform their data with Matillion ETL's library of transformation components.

Note: This component may return structured data that requires flattening. For help flattening such data, please read our Nested Data Load Component documentation.

Note: This component may return structured data that requires flattening. For help flattening such data, please read our Extract Nested Data Component documentation.



Redshift Properties

Property Setting Description
Name String Input the descriptive name for the component.
Data Source Select Please select the Zendesk Chat data source from the available options.
OAuth Select The name of the OAuth entry that has been configured for this service. For help creating and authorising an OAuth entry, please refer to our Zendesk Chat Authentication Guide.
Page Limit Number Limit the number of pages to stage.
Location Filepath Provide an S3 bucket path that will be used to store the data. Once on an S3 bucket, the data can be referenced by an external table. A folder will be created at this location with the same name as the target table.
External Schema Select Select the table's external schema. To learn more about external schemas, please read our support documentation on Getting Started With Amazon Redshift Spectrum.
The special value, [Environment Default], will use the schema defined in the environment.
For more information on using multiple schemas, see Schema Support.
Target Table String Provide a name for the external table to be used.
Warning: Upon running the job, this table will be recreated and will drop any existing table of the same name.

Snowflake Properties

Property Setting Description
Name String Input the descriptive name for the component.
Data Source Select Please select the Zendesk Chat data source from the available options.
OAuth Select The name of the OAuth entry that has been configured for this service. For help creating and authorising an OAuth entry, please refer to our Zendesk Chat Authentication Guide.
Page Limit Number Limit the number of pages to stage.
Location Filepath Provide an S3 bucket path, GCS bucket path, or Azure Blob Storage path that will be used to store the data. Once on an S3 bucket, GCS bucket or Azure Blob, the data can be referenced by an external table. A folder will be created at this location with the same name as the Target Table.
Integration Select Choose your Google Cloud Storage Integration. Integrations are required to permit Snowflake to read data from and write to a Google Cloud Storage bucket. Integrations must be set up in advance of selecting them in Matillion ETL. To learn more about setting up a storage integration, read our Storage Integration Setup Guide.
Warehouse Select Choose a Snowflake warehouse that will run the load.
Database Select Choose a database to create the new table in.
Schema Select Select the table schema. The special value, [Environment Default], will use the schema defined in the environment. For more information on using multiple schemas, please refer to this article.
Target Table String Provide a new table name.
Warning: Upon running the job, this table will be recreated and will drop any existing table of the same name.