Query, Visualize, and Share live DB2 Data in Redash

Mohsin Turki
Mohsin Turki
Technical Marketing Engineer
Use CData Connect AI to connect to live DB2 data in Redash for querying, visualizing, and sharing.

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 DB2 data. This article demonstrates how to connect to DB2 using Connect AI and work with live DB2 data in Redash.

CData Connect AI provides a pure SQL Server interface for DB2, allowing you to query data from DB2 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 DB2, leveraging server-side processing to return the requested DB2 data quickly.

Configure DB2 Connectivity for Redash

Connectivity to DB2 from Redash is made possible through CData Connect AI. To work with DB2 data in Redash, we start by creating and configuring a DB2 connection.

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. Adding a Connection
  3. Select "DB2" from the Add Connection panel
  4. Selecting a data source
  5. Enter the necessary authentication properties to connect to DB2.

    Set the following properties to connect to DB2:

    • Server: Set this to the name of the server running DB2.
    • Port: Set this to the port the DB2 server is listening on.
    • Database: Set this to the name of the DB2 database.
    • User: Set this to the username of a user allowed to access the database.
    • Password: Set this to the password of a user allowed to access the database.

    You will also need to install the corresponding DB2 driver:

    • Windows: Install the IBM Data Server Provider for .NET.

      On Windows, installing the IBM Data Server Provider is sufficient, as the installation registers it in the machine.config.

    • Java: Install the IBM Data Server Driver for JDBC.

      In the Java version, place the IBM Data Server Driver JAR in the www\WEB-INF\lib\ folder for this application.

    Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab in the Add DB2 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 DB2 data from Redash.

Connect to DB2 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 DB2 data in Redash.

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