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Use SQL to query Snowflake from a notebook

Don’t jump between multiple apps. Query data directly from your Snowflake data warehouse. Switch between SQL and Python in order to transform, clean, and export your data.

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Snowflake in Jupyter notebooks

Snowflake is an enterprise-ready data warehouse that lets you separate your compute from storage.

When connected to a Deepnote notebook, you can read, update or delete any data directly with Snowflake SQL queries. The query result can be saved as a dataframe and later analyzed or transformed in Python, or plotted with Deepnote's visualization cells without writing any code.

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Snowflake, MongoDB, PostgreSQL and an Amazon S3 bucket connected to a Deepnote project as integrations

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