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Amazon Redshift

Amazon Redshift is a fully managed, petabyte-scale data warehouse service. Deepnote integrates with Redshift seamlessly to bring the cloud data warehouse to your notebook.

What can you do with the Redshift integration?

The Redshift integration allows you to query databases and explore the structure of your warehouse. Think "SQL editor" but with all the modern productivity boosters that come with Deepnote's notebook. For example:

  • Write native SQL and Python in the same notebook
  • Search your entire warehouse instantly via the integrated schema explorer
  • Get intelligent autocomplete for columns, tables, and databases
  • Interactively explore data without writing any additional code

How to connect to Redshift

From the right-hand panel, under Integrations, click the + button and choose Create new integration.

Select Redshift from the list of integrations or search for it using the search bar.

Fill out the fields in the pop-up form. You will need to know the Redshift hostname, which can be found on your AWS Redshift console.

Authenticating using an IAM role

Using an IAM role instead of a username and password to connect to your Redshift is preferred for enhanced security and making it easier to manage. IAM roles offer temporary credentials that automatically rotate, reducing the risk of long-term credential exposure. This approach also simplifies permissions management, allowing for more granular access control to Redshift resources based on the principle of least privilege. Moreover, it eliminates the need to store static credentials, reducing the potential for security breaches.

In the "Authentication" section, select the IAM role option in the dropdown menu.

Enter the Amazon Resource Name (ARN) of the AWS role you wish to use for this integration. This role should be configured with the necessary permissions to access the Redshift clusters that Deepnote will interact with.

To allow Deepnote to access your Redshift cluster, you will need to update the role's trust policy. Copy the generated trust policy and update your role's trust relationship in the AWS IAM console.

The Deepntote integration will create a database user called IAMA:deepnote that will be used to perform your queries.

Connecting to Redshift with Python

Simple as installing the connector. pip install redshift_connector

import redshift_connector
conn = redshift_connector.connect(
# Create a Cursor object
cursor = conn.cursor()

# Query a table using the Cursor
cursor.execute("select * from book")
#Retrieve the query result set
result: tuple = cursor.fetchall()
 (['One Hundred Years of Solitude', 'Gabriel García Márquez'], ['A Brief History of Time', 'Stephen Hawking'])

Using Redshift in Deepnote

Now that you're connected to Redshift, you can do the following: