Snowflake
Last updated
Last updated
This guide describes how to connect Aporia to a Snowflake data source in order to monitor your ML Model in production.
We will assume that your model inputs, outputs and optionally delayed actuals can be queried with SQL. This data source may also be used to connect to your model's training set to be used as a baseline for model monitoring.
In order to provide access to Snowflake, create a read-only Service Account for Aporia in Snowflake.
Please use the SQL snippet below to create the Service Account for Aporia. Before using the snippet, you will need to populate the following:
<aporia_password>
: Strong password to be used by the service account user.
<your_database>
: Snowflake database with your ML training / inference data.
Go to Aporia platform and login to your account.
Go to Integrations page and click on the Data Connectors tab
Scroll to Connect New Data Source section
Click Connect on the Snowflake card and follow the instructions
Note that the provided URL should be in the following format jdbc:snowflake://<ACCOUNT_IDENTIFIER>.snowflakecomputing.com
Bravo! 👏 now you can use the data source you've created across all your models in Aporia.