Integrate with live Google Cloud Storage Data in Jitterbit

Jitterbit is an enterprise iPaaS (integration platform as a service) that lets you streamline your data workflows. When paired with CData Connect AI, Jitterbit gets access to live Google Cloud Storage data. This article demonstrates how to connect to Google Cloud Storage using Connect AI and integrate with live Google Cloud Storage data in Jitterbit.

CData Connect AI provides a pure OData interface for Google Cloud Storage, allowing you to query data from Google Cloud Storage 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 Google Cloud Storage, leveraging server-side processing to return the requested Google Cloud Storage data quickly.

Configure Google Cloud Storage Connectivity for Jitterbit

To work with Google Cloud Storage data from Jitterbit, we need to connect to Google Cloud Storage from Connect AI, provide user access to the connection, and create a Workspace for the Google Cloud Storage data.

Connect to Google Cloud Storage from Connect AI

CData Connect AI uses a straightforward, point-and-click interface to connect to data sources.

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

2. Select "Google Cloud Storage" from the Add Connection panel

3. Enter the necessary authentication properties to connect to Google Cloud Storage.

   Authenticate with a User Account

   You can connect without setting any connection properties for your user credentials. After setting InitiateOAuth to GETANDREFRESH, you are ready to connect.

   When you connect, the Google Cloud Storage OAuth endpoint opens in your default browser. Log in and grant permissions, then the OAuth process completes

   Authenticate with a Service Account

   Service accounts have silent authentication, without user authentication in the browser. You can also use a service account to delegate enterprise-wide access scopes.

   You need to create an OAuth application in this flow. See the Help documentation for more information. After setting the following connection properties, you are ready to connect:

   • InitiateOAuth: Set this to GETANDREFRESH.
   • OAuthJWTCertType: Set this to "PFXFILE".
   • OAuthJWTCert: Set this to the path to the .p12 file you generated.
   • OAuthJWTCertPassword: Set this to the password of the .p12 file.
   • OAuthJWTCertSubject: Set this to "*" to pick the first certificate in the certificate store.
   • OAuthJWTIssuer: In the service accounts section, click Manage Service Accounts and set this field to the email address displayed in the service account Id field.
   • OAuthJWTSubject: Set this to your enterprise Id if your subject type is set to "enterprise" or your app user Id if your subject type is set to "user".
   • ProjectId: Set this to the Id of the project you want to connect to.

   The OAuth flow for a service account then completes.

   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add Google Cloud Storage 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.

Configure Google Cloud Storage Endpoints for Jitterbit

After connecting to Google Cloud Storage, create a workspace for your desired table(s).

1. Navigate to the Workspaces page and click Add to create a new Workspace (or select an existing workspace).
2. Click Add to add new assets to the Workspace.
3. Select the Google Cloud Storage connection (e.g. GoogleCloudStorage1) and click Next.
4. Select the table(s) you wish to work with and click Confirm.
5. Make note of the OData Service URL for your workspace, e.g. https://cloud.cdata.com/api/odata/{workspace_name}

With the connection, PAT, and Workspace configured, you are ready to connect to Google Cloud Storage data from Jitterbit.

Connect to Google Cloud Storage from Jitterbit using Connect AI

To establish a connection from Jitterbit to CData Connect AI using the OData protocol, follow these steps.

1. Log into Jitterbit.
2. Create a project in Cloud Studio and provide a workspace environment for it.
3. click Sources and enter OData in the search bar.
4. Select the OData connector.
5. Enter the OData connection properties.
• Connection Name: enter a connection name.
• OData Metadata URL: enter https://cloud.cdata.com/api/odata/{workspace_name}.
• Authentication: select Basic Auth.
• User Name: 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.

6. Click Test to test the connection, and then click Save Changes.
7. Choose the operation you want to perform and drag it to the workflow in your project.
8. Double-click the query operation to see all the tables and derived views available in your OData endpoint.
9. Select a table and configure the query.

You can now transform and integrate live Google Cloud Storage data in Jitterbit.

Get CData Connect AI

To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from Jitterbit, try CData Connect AI today!