Build Pipelines with Live Claude Compliance Data in Google Cloud Data Fusion (via CData Connect AI)

Google Cloud Data Fusion simplifies building and managing data pipelines by offering a visual interface to connect, transform, and move data across various sources and destinations, streamlining data integration processes. When combined with CData Connect AI, it provides access to Claude Compliance data for building and managing ELT/ETL data pipelines. This article explains how to use CData Connect AI to create a live connection to Claude Compliance and how to connect and access live Claude Compliance data from the Cloud Data Fusion platform.

Configure Claude Compliance Connectivity for Cloud Data Fusion

Connectivity to Claude Compliance from Cloud Data Fusion is made possible through CData Connect AI. To work with Claude Compliance data from Cloud Data Fusion, we start by creating and configuring a Claude Compliance connection.

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

2. Select "Claude Compliance" from the Add Connection panel

3. Enter the necessary authentication properties to connect to Claude Compliance.

   The driver connects to Claude Compliance using a Compliance Access Key, the only supported authentication method. Set the following connection property:

   • APIKey: The Compliance Access Key you created.

   Creating a Compliance Access Key

   1. Enable the Compliance API for your organization.
   2. Sign in to claude.ai as a primary owner or organization owner and open Organization settings > API > Keys.
   3. Select Create Key and assign only the scopes your integration needs:
      • read:compliance_activities for Activities and the typed activity views.
      • read:compliance_org_data for organizations, roles, groups, and settings.
      • read:compliance_user_data for users, chats, files, projects, and downloads.
      • delete:compliance_user_data for the explicit Delete stored procedures.
   4. Create the key and copy it when it appears. The key starts with sk-ant-api01- and is shown only once.

   Optionally, set OrganizationUUID to limit organization-scoped views (such as OrganizationUsers and ComplianceRoles) to a single linked organization. If it is left empty, those views default to the first available organization and do not include data from all linked organizations.

   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add Claude Compliance Connection page and update the User-based 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.
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 Claude Compliance data from Cloud Data Fusion.

Connecting to Claude Compliance from Cloud Data Fusion

Follow these steps to establish a connection from Cloud Data Fusion to Claude Compliance through the CData Connect AI JDBC driver:

1. Download and install the CData Connect AI JDBC driver:
   1. Open the Integrations page of CData Connect AI.
   2. Search for and select JDBC.
   3. Download and run the setup file.
   4. When the installation is complete, copy the JAR file(cdata.jdbc.connect.jar) from the installation directory (e.g., C:\Program Files\CData\JDBC Driver for CData Connect\lib).
2. Log into Cloud Data Fusion.
3. Click the green "+" button at the top right to add an entity.
4. Under Driver, click Upload.
5. Now, upload the CData Connect AI JDBC driver (JAR file).
6. Enter the driver settings:
   • Name: Enter the name of the driver
   • Class name: Enter "cdata.jdbc.connect.ConnectDriver"
   • Version: Enter the driver version
   • Description (optional): Enter a description for the driver
7. Click on Finish.
8. Enter source configuration settings:
   • Label: Helps to identify the connection
   • JDBC driver name: Enter the JDBC driver name to identify the driver configured in Step 6.
   • Connection string: Enter the JDBC connection string, for example:

     jdbc:connect:AuthScheme=Basic;user=username;password=PAT;

   • User: Enter your CData Connect AI username, 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.
9. Click Validate in the top right corner.
10. If the connection is successful, you can manage the pipeline by editing it through the UI.
11. Run the pipepline created.

Troubleshooting

Please be aware that there is a known issue in Cloud Data Fusion where "int" types from source data are automatically cast as "long".

Live Access to Claude Compliance Data from Cloud Applications

Now you have a direct connection to live Claude Compliance data from from Google Cloud Data Fusion. You can create more connections to ensure a smooth movement of data across various sources and destinations, thereby streamlining data integration processes - all without replicating Claude Compliance data.

To get real-time data access to hundreds of SaaS, Big Data, and NoSQL sources (including Claude Compliance) directly from your cloud applications, explore the CData Connect AI.