Model, Search, and Visualize Live Confluence Data in ThoughtSpot

ThoughtSpot is a cloud-based analytics platform that uses artificial intelligence (AI) and natural language processing (NLP) to help users analyze data and make decisions. When paired with CData Connect AI, you get instant, cloud-to-cloud access to Confluence data for visualizations, dashboards, and more. This article shows how to connect to Confluence and build visualizations from Confluence data in ThoughtSpot.

CData Connect AI provides a pure SQL Server, cloud-to-cloud interface for Confluence, allowing you to easily build models and visualizations from live Confluence data in ThoughtSpot. As you build visualizations, ThoughtSpot generates SQL queries to gather data. Using optimized data processing out of the box, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc) directly to Confluence, leveraging server-side processing to quickly return Confluence data.

Configure Confluence Connectivity for ThoughtSpot

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

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

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

3. Enter the necessary authentication properties to connect to Confluence.

   Obtaining an API Token

   An API token is necessary for account authentication. To generate one, login to your Atlassian account and navigate to API tokens > Create API token. The generated token will be displayed.

   Connect Using a Confluence Cloud Account

   To connect to a Cloud account, provide the following (Note: Password has been deprecated for connecting to a Cloud Account and is now used only to connect to a Server Instance.):

   • User: The user which will be used to authenticate with the Confluence server.
   • APIToken: The API Token associated with the currently authenticated user.
   • Url: The URL associated with your JIRA endpoint. For example, https://yoursitename.atlassian.net.

   Connect Using a Confluence Server Instance

   To connect to a Server instance, provide the following:

   • User: The user which will be used to authenticate with the Confluence instance.
   • Password: The password which will be used to authenticate with the Confluence server.
   • Url: The URL associated with your JIRA endpoint. For example, https://yoursitename.atlassian.net.
   👁 Configuring a connection (Salesforce is shown)
   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add Confluence 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 Confluence data from ThoughtSpot.

Model, Search, and Visualize Live Confluence Data in ThoughtSpot

To establish a connection from ThoughtSpot to the CData Connect AI Virtual SQL Server API, follow these steps.

1. Log into ThoughtSpot
2. On the top navigation bar, click Data.
3. Click Create new > Connection. 👁 Creating a new connection.
   
4. Name the connection and click "SQL Server" as the data warehouse. 👁 Selecting SQL Server as the connection type.
   
5. Click Continue on the top right.
6. Enter the connection settings:
   • Host: enter the Virtual SQL Server endpoint: tds.cdata.com
   • Port: : enter 14333
   • Username: 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.
   • Database: enter the Connection Name of the CData Connect AI data source you want to connect to (for example, Confluence1).
   👁 Configuring the connection to the Virtual SQL Server API
   
7. Click Continue.
8. After connecting successfully, you will be able to choose which tables to include. 👁 Selecting tables (Salesforce is shown).
   
9. Click Create Connection.

After you successfully configure your connection, you can build models, search, and visualize your Confluence data.

Real-Time Access to Confluence Data from Cloud Applications

At this point, you have a direct, cloud-to-cloud connection to live Confluence data from ThoughtSpot. You can model, search, and visualize your data from ThoughtSpot . For more information on gaining live access to data from more than 100 SaaS, Big Data, and NoSQL sources from cloud applications like ThoughtSpot, refer to our Connect AI page.