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Data Sources

Datalayer provides a solution to connect easily from a Python notebook to SQL databases like GCP BigQuery and Amazon Athena. This allows you to run SQL queries directly from your notebook and retrieve the results in a Pandas DataFrame. This is particularly useful for data analysis and machine learning tasks, where you may need to access large datasets stored in cloud databases.

Data Sources Management
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Data Sources can for now only be managed and used from the Datalayer SaaS interface. Refer to the SaaS Data Sources documentation for more information on how to setup and use them.