Redash is a collaboration tool that lets you query, visualize, and share your data. When paired with
CData Connect AI, Redash gets access to live Redshift data. This article demonstrates how to connect to Redshift
using Connect AI and work with live Redshift data in Redash.
CData Connect AI provides a pure SQL Server interface for Redshift, allowing you to query data from
Redshift without replicating the data to a natively supported database.
Using optimized data processing out of the box, CData Connect AI pushes all supported SQL operations
(filters, JOINs, etc.) directly to Redshift, leveraging server-side processing to return the
requested Redshift data quickly.
Configure Redshift Connectivity for Redash
Connectivity to Redshift from Redash is made possible through CData Connect AI. To work with Redshift data in Redash, we start by creating and configuring a Redshift connection.
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Log into Connect AI, click Sources, and then click Add Connection
๐ Adding a Connection
- Select "Redshift" from the Add Connection panel
๐ Selecting a data source
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Enter the necessary authentication properties to connect to Redshift.
To connect to Redshift, set the following:
- : Set this to the host name or IP address of the cluster hosting the Database you want to connect to.
- : Set this to the port of the cluster.
- : Set this to the name of the database. Or, leave this blank to use the default database of the authenticated user.
- : Set this to the username you want to use to authenticate to the Server.
- : Set this to the password you want to use to authenticate to the Server.
You can obtain the and values in the AWS Management Console:
- Open the Amazon Redshift console (http://console.aws.amazon.com/redshift).
- On the Clusters page, click the name of the cluster.
- On the Configuration tab for the cluster, copy the cluster URL from the connection strings displayed.
๐ Configuring a connection (Salesforce is shown)
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Click Save & Test
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Navigate to the Permissions tab in the Add Redshift Connection page and update the User-based permissions.
๐ Updating permissions
Add a Personal Access Token
When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.
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Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
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On the Settings page, go to the Access Tokens section and click Create PAT.
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Give the PAT a name and click Create.
๐ Creating a new PAT
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The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.
With the connection configured and a PAT generated, you are ready to connect to Redshift data from Redash.
Connect to Redshift from Redash using Connect AI
To establish a connection from Redash to CData Connect AI using the Virtual SQL Server, follow these steps:
- Log into Redash.
- Click the settings widget on the top right.
- Click New Data Source.
- Select Microsoft SQL Server as the Data Source Type.
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On the configuration tab, set the following properties:
- Database Name: enter the Connection Name of the CData Connect AI data source you want to connect to (for example, Salesforce1).
- Server: enter the virtual SQL Server host name (tds.cdata.com)
- User: enter your CData Connect AI username. This is displayed in the top-right corner of the CData Connect AI interface. For example, [email protected].
- Password: enter the PAT you generated on the Settings page.
- Port: enter 14333
๐ Configuring the connection to Connect AI from Redash.
- Click Create.
- Click Test Connection to ensure that the connection is configured properly.
You can now work with live Redshift data in Redash.
Get CData Connect AI
To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from Redash,
try CData Connect AI today!