This section describes how to integrate the 

• Snowflake provides a cloud-database datawarehouse designed for big data processing and analytics. For more information, see https://www.snowflake.com.

• For more information on supported versions, see Connection Types.

Limitations

• SSO connections are not supported.

Pre-requisites

• If you do not provide a stage database, then the 

  D s platform

   must create one for you in the default database. In this default database, you must include a schema named PUBLIC. For more information, please see the Snowflake documentation.

Enable

When relational connections are enabled, this connection type is automatically available. For more information, see Enable Relational Connections.

Configure

To create a Snowflake connection, you must enable the following feature. The job manifest feature enables the creation of a manifest file to track the set of temporary files written to S3 before publication to Snowflake.

Steps:

1. D s config

2. Locate the following parameter and set it to true:
   
   

   Code Block
   "feature.enableJobOutputManifest": true,

3. Save your changes and restart the platform.

Create Stage

In Snowflake terminology, a stage is a database object that points to an external location on S3. It must be an external stage containing access credentials.

• If a stage is used, it is typically the default bucket used on S3 for storage.

  Info
  NOTE: For read-only connections to Snowflake, you must specify a Database for Stage. The connecting user must have write access to this database.

  Tip
  Tip: You can specify a separate database to use for your stage.

• If a stage is not specified, a temporary stage is created using the current user's AWS credentials.
  

  Info
  NOTE: Without a defined stage, you must have write permissions to the database from which you import. This database is used to create the temporary stage.

For more information on stages, see https://docs.snowflake.net/manuals/sql-reference/sql/create-stage.html.

In the 

Create Snowflake Connection

For more information, see Create Snowflake Connections.

Testing

Steps:

1. After you create your connection, load a small dataset based on a table in the connected Snowflake database.

   Info
   NOTE: For Snowflake connections, you must have write access to the database from which you are importing.

   
   See Import Data Page. 

2. Perform a few simple transformations to the data. Run the job. See Transformer Page.
3. Verify the results.

For more information, see Verify Operations.