Processing semantic model without Spark on Snowflake Data source

To process the semantic model with source as Snowflake on AWS,

In semantic model advance properties, provide the value of your secret key in the AWS_SECRET_KEY property.
In semantic model advance properties, provide the value of your access key in the AWS_KEY_ID property.
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Configure a Snowflake storage integration to access Amazon S3.

Important

Refer to Snowflake documentation for configuring a Snowflake storage integration to access Amazon S3. Ensure that before creating an external stage, as per Snowflake documentation, the URL should be: s3://<your bucket name>/<kvyso work directory>/temp/

For example, 's3://kyvos-qa/user/engine_work/temp/'

Note

This requires AWS console access and Snowflake account administrators (users with the ACCOUNTADMIN role) or a role with the global CREATE INTEGRATION.

Execute the GRANT USAGE ON STAGE <stagename> TO ROLE <role_used_on_Kyvos_SF_Connection>; query on Snowflake with the role used in Snowflake connection in Kyvos.
Add the kyvos.connection.snowflake.stage = @mydb.myschema.mystage property on Snowflake connection.
NOTE: Here, mydb is the database name, myschema is the schema name, and mystage is the stage name.
Update the IAM role in your bucket policy that you created while configuring a Snowflake storage integration to access Amazon S3 in the above step.