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Use BigQuery directly in a notebook

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

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BigQuery in Jupyter notebooks

BigQuery is an cloud-based data warehouse solution by Google.

When connected to a Deepnote notebook, you can read, update or delete any data directly with BigQuery 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.

Explore BigQuery in Jupyter notebooks docs →
Snowflake, MongoDB, PostgreSQL and an Amazon S3 bucket connected to a Deepnote project as integrations

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