Connect to Greenhouse Data in ACL Analytics
ACL Analytics, part of Diligent HighBond, is a powerful data analysis software primarily used for audit, risk management, and compliance. It enables professionals to examine and analyze large volumes of data to identify anomalies, trends, and potential risks or fraudulent activities.
CData Connect AI offers a dedicated cloud-to-cloud interface for Greenhouse, enabling analytics directly from live Greenhouse data within ACL Analytics, all without the need for data replication to a native database. With its inherent optimized data processing capabilities, CData Connect AI efficiently channels all supported SQL operations, including filters and JOINs, directly to Greenhouse. This leverages server-side processing to swiftly deliver the requested Greenhouse data.
Configure Greenhouse Connectivity for ACL Analytics
Connectivity to Greenhouse from ACL Analytics is made possible through CData Connect AI. To work with Greenhouse data from ACL Analytics, we start by creating and configuring a Greenhouse connection in CData Connect AI.
- Log into Connect AI, click Sources, and then click Add Connection
- Select "Greenhouse" from the Add Connection panel
- Enter the necessary authentication properties to connect to Greenhouse.
Enter the necessary authentication properties to connect to Greenhouse.
You need an API key to connect to Greenhouse. To create an API key, follow the steps below:
- Click the Configure icon in the navigation bar and locate Dev Center on the left.
- Select API Credential Management.
- Click Create New API Key.
- Set "API Type" to Harvest.
- Set "Partner" to custom.
- Optionally, provide a description.
- Proceed to Manage permissions and select the appropriate permissions based on the resources you want to access through the driver.
- Copy the created key and set APIKey to that value.
- Click Save & Test
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Navigate to the Permissions tab in the Add Greenhouse 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.
- Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
- 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.
- 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 Greenhouse data from ACL Analytics.
Connect to Greenhouse from ACL Analytics
The steps below outline connecting to CData Connect AI from ACL Analytics to create a new Greenhouse data source. The CData Connect AI Virtual SQL Server allows you to establish a connection to your data from integration tools that support connections to SQL servers. The Virtual SQL Server mimics the behavior of a traditional SQL server, and it supports a range of query options.
- With your Analytics File open, select 'Import' --> 'Database and application'
- Create a new SQL Server connection
- Set the connection information
- Server: tds.cdata.com
- Port: 14333
- Auth Scheme: Password
- Username: a Connect AI user, for example, [email protected]
- Password: the PAT for the above Connect AI user
- Database: the name of your Greenhouse connection, for example, Greenhouse1
- Click "Test Connection"
- Click "OK"
- You are now ready to work with your Greenhouse data in ACL Analytics!
Live connections to Greenhouse data from your applications
ACL Analytics can now connect to live Greenhouse data directly through Connect AI, allowing you to analyze Greenhouse data without duplicating it.
To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your applications, try CData Connect AI today!