Query, Visualize, and Share live Azure Table Data in Redash

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 Azure Table data. This article demonstrates how to connect to Azure Table using Connect AI and work with live Azure Table data in Redash.

CData Connect AI provides a pure SQL Server interface for Azure Table, allowing you to query data from Azure Table 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 Azure Table, leveraging server-side processing to return the requested Azure Table data quickly.

Configure Azure Table Connectivity for Redash

Connectivity to Azure Table from Redash is made possible through CData Connect AI. To work with Azure Table data in Redash, we start by creating and configuring a Azure Table connection.

1. Log into Connect AI, click Sources, and then click Add Connection
👁 Adding a Connection

2. Select "Azure Table" from the Add Connection panel
👁 Selecting a data source

3. Enter the necessary authentication properties to connect to Azure Table.

   Specify your AccessKey and your Account to connect. Set the Account property to the Storage Account Name and set AccessKey to one of the Access Keys. Either the Primary or Secondary Access Keys can be used. To obtain these values, navigate to the Storage Accounts blade in the Azure portal. You can obtain the access key by selecting your account and clicking Access Keys in the Settings section.

   👁 Configuring a connection (Salesforce is shown)
   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add Azure Table Connection page and update the User-based permissions. 👁 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.

1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
2. On the Settings page, go to the Access Tokens section and click Create PAT.
3. Give the PAT a name and click Create. 👁 Creating a new PAT
   
4. 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 Azure Table data from Redash.

Connect to Azure Table from Redash using Connect AI

To establish a connection from Redash to CData Connect AI using the Virtual SQL Server, follow these steps:

1. Log into Redash.
2. Click the settings widget on the top right.
3. Click New Data Source.
4. Select Microsoft SQL Server as the Data Source Type.
5. 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
   👁 Configuring the connection to Connect AI from Redash.
   
6. Click Create.
7. Click Test Connection to ensure that the connection is configured properly.

You can now work with live Azure Table 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!