Akorbi Digital RunMyProcess makes it easy to create applications for complex business applications, such as budget application and contract management. CData Connect AI creates a live connection to BigQuery and can be used to generate an OData API (natively supported in RunMyProcess) for BigQuery. By pairing RunMyProcess with CData Connect AI, you get true cloud-to-cloud connectivity to all your SaaS and cloud-based Big Data and NoSQL sources - no need to migrate your data or write your own integrations. Simply connect to Connect AI from RunMyProcess as you would any other REST service and get instant, live access to your BigQuery data.
In this article, we walk through connecting to BigQuery from CData Connect AI and accessing BigQuery data through an OData feed in RunMyProcess.
About BigQuery Data Integration
CData simplifies access and integration of live Google BigQuery data. Our customers leverage CData connectivity to:
- Simplify access to BigQuery with broad out-of-the-box support for authentication schemes, including OAuth, OAuth JWT, and GCP Instance.
- Enhance data workflows with Bi-directional data access between BigQuery and other applications.
- Perform key BigQuery actions like starting, retrieving, and canceling jobs; deleting tables; or insert job loads through SQL stored procedures.
Most CData customers are using Google BigQuery as their data warehouse and so use CData solutions to migrate business data from separate sources into BigQuery for comprehensive analytics. Other customers use our connectivity to analyze and report on their Google BigQuery data, with many customers using both solutions.
For more details on how CData enhances your Google BigQuery experience, check out our blog post: https://www.cdata.com/blog/what-is-bigquery
Getting Started
Connect to BigQuery from RunMyProcess
To work with live BigQuery data in RunMyProcess, we need to connect to BigQuery from Connect AI, provide user access to
the connection, and create a Workspace for the BigQuery data.
Connect to BigQuery from Connect AI
CData Connect AI uses a straightforward, point-and-click interface to connect to data sources.
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Log into Connect AI, click Sources, and then click Add Connection
👁 Adding a Connection
- Select "BigQuery" from the Add Connection panel
👁 Selecting a data source
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BigQuery uses OAuth to authenticate. Click "Sign in" to authenticate with BigQuery.
👁 Authenticating with OAuth (Salesforce is shown).
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Navigate to the Permissions tab in the Add BigQuery 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.
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Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
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On the Settings page, go to the Access Tokens section and click Create PAT.
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Give the PAT a name and click Create.
👁 Creating a new PAT
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The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.
Configure BigQuery Endpoints for RunMyProcess
After connecting to BigQuery, create a workspace for your desired table(s).
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Navigate to the Workspaces page and click Add to create a new Workspace (or select an existing workspace).
👁 The Workspaces page.
👁 Adding a new Workspace.
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Click Add to add new assets to the Workspace.
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Select the BigQuery connection (e.g. GoogleBigQuery1) and click Next.
👁 Selecting an Asset (Salesforce is shown).
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Select the table(s) you wish to work with and click Confirm.
👁 Selecting Tables (Salesforce is shown).
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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 BigQuery data from RunMyProcess.
Retrieve BigQuery Data from RunMyProcess DigitalSuite Studio
With the connection to BigQuery and OData endpoints created, we are ready to add BigQuery data to RunMyProcess for Retrieval.
Create a Provider
- Log into RunMyProcess and open DigitalSuite Studio.
- Click Resources to bring up the Resources page, then select then the CONNECTORS tab.
👁 Connectors page
- Click the + (New Provider) button to create a new provider, choose the account to use, then click Confirm.
👁 Create a new provider
- In the provider settings page, configure the following properties.
- URL: Set the OData endpoint in the Connect AI OData page: https://cloud.cdata.com/api/odata/{workspace_name}.
- Authentication Schema: Select Login/Password.
- Login: Specify a CData Connect AI username (e.g. [email protected]).
- Password: Specify the PAT of the Connect AI user.
👁 Selecting a connector
- Fill in the same properties in the ACCEPTANCE and TEST tabs. Note: You can copy the configured settings by clicking 'Copy this configuration button,' then pasting the content in the new tab by clicking 'Paste previously copied configuration.'
- Click Save to save the properties.
Retrieve BigQuery Data by Creating a Connector
- In the CONNECTORS tab, click the button with three dots to create the provider, then select Add connector from the menu.
- In the following page, set Connector URL to the OData endpoint configured in Connect AI (e.g. https://cloud.cdata.com/api/odata/{workspace_name})
👁 Connector settings page
- Click Save then Launch to test the connector execution. Click Launch test to execute. The process is successful if you get the JSON response of your configured table information.
👁 Execution test page
More Information & Free Trial
Now, you have created a provider and connector to retrieve BigQuery data. For more information on creating OData feeds from BigQuery (and more than 100 other data sources), visit the Connect AI page. Sign up for a free trial and start working with live BigQuery data in RunMyProcess.
