Connecting to Snowflake
Data Science & AI Workbench enables you to connect to the Snowflake SQL cloud data warehouse, and work with data stored in it while in a notebook session.
To access Snowflake within the platform, Anaconda recommends you pip install the required connector first:
Any packages you install from the command line are available during the current session only. If you want them to persist, add them to the project’s anaconda-project.yml
file. For more information, see Project configurations.
After you’ve installed the connector, you can then use code such as this to access Snowflake from within a notebook session:
See Secrets for information about adding credentials to the platform, to make them available in your projects. Any secrets you add will be available across all sessions and deployments associated with your user account.
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