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URL: https://www.cdata.com/kb/tech/confluence-cloud-google-data-studio.rst

⇱ Create Reports from Confluence Data in Looker Studio


Create Reports from Confluence Data in Looker Studio

πŸ‘ Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Use CData Connect AI to gain access to live Confluence data and create custom reports in Looker Studio.

Looker Studio, formerly known as Google Data Studio, empowers users to craft customized reports featuring data visualizations that can be shared with clients while reflecting your brand identity. When combined with CData Connect AI, you gain immediate cloud-to-cloud access to Confluence data to create visualizations, dashboards, and more. This article provides step-by-step instructions on establishing a virtual database for Confluence and generating reports from Confluence data within Looker Studio.

CData Connect AI offers a seamless cloud-to-cloud interface tailored for Confluence, making it straightforward to construct reports directly from live Confluence data within Looker Studio without the need for data replication. As you create visualizations, Looker Studio generates queries to retrieve data. With its inherent optimized data processing capabilities, CData Connect AI efficiently channels all supported query operations, including filters, JOINs, and more, directly to Confluence. This leverages server-side processing to swiftly provide the requested Confluence data.

This article requires a CData Connect AI instance and the CData Connect AI Connector for Looker Studio. Get more information on the CData Connect AI and sign up for a free trial at https://www.cdata.com/cloud.


Configure Confluence Connectivity for Looker Studio

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

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. πŸ‘ Adding a Connection
  3. Select "Confluence" from the Add Connection panel
  4. πŸ‘ Selecting a data source
  5. 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.
    πŸ‘ Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab in the Add Confluence Connection page and update the User-based permissions. πŸ‘ Updating permissions

With the connection configured, you are ready to connect to Confluence data from Looker Studio.

Visualize Live Confluence Data from Looker Studio

The steps below outline connecting to CData Connect AI from Looker Studio to create a new Confluence data source and build a simple visualization from the data.

  1. Log into Looker Studio, click data sources, create a new data source, and choose CData Connect AI Connector.
  2. πŸ‘ Create a new connection in Looker Studio
  3. Click Authorize and allow access to your Google account. πŸ‘ Granting permissions to the Connector
  4. Click Authorize to authenticate with your CData Connect AI instance πŸ‘ Authenticating with CData Connect AI
  5. In the CData Connect AI Connector in Looker Studio select Connections to import from the dropdown and click Next
  6. πŸ‘ Importing from Connections
  7. Now select a Connection (e.g. Confluence1) and click Next πŸ‘ Selecting a Connection
  8. Select a Table (e.g. Pages) or use a Custom Query and click Connect to continue πŸ‘ Selecting a Table
  9. If needed, modify columns, click Create Report, and add the data source to the report.
  10. πŸ‘ Configuring column definitions
  11. Select a visualization style and add it to the report.
  12. Select Dimensions and Measures to customize your visualization.
  13. πŸ‘ Visualizing Confluence data in Looker Studio

Live Access to Confluence Data from Cloud Applications

Now you have a direct, cloud-to-cloud connection to live Confluence data from your Looker Studio workbook. You can create more data sources and new visualizations, build reports, and more β€” all without replicating Confluence data.

Try CData Connect AI and get real-time data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications.