Connect to Pinterest 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 Pinterest, enabling analytics directly from live Pinterest 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 Pinterest. This leverages server-side processing to swiftly deliver the requested Pinterest data.

Configure Pinterest Connectivity for ACL Analytics

Connectivity to Pinterest from ACL Analytics is made possible through CData Connect AI. To work with Pinterest data from ACL Analytics, we start by creating and configuring a Pinterest connection in CData Connect AI.

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

2. Select "Pinterest" from the Add Connection panel

3. Enter the necessary authentication properties to connect to Pinterest. Enter the necessary authentication properties to connect to Pinterest.

   Pinterest authentication is based on the standard OAuth flow. To authenticate, you must initially create an app via the Pinterest developer platform where you can obtain an OAuthClientId, OAuthClientSecret, and CallbackURL.

   Set InitiateOAuth to GETANDREFRESH and set OAuthClientId, OAuthClientSecret, and CallbackURL based on the property values for the app you created.

   See the Help documentation for other OAuth authentication flows.

   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add Pinterest 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 Pinterest data from ACL Analytics.

Connect to Pinterest from ACL Analytics

The steps below outline connecting to CData Connect AI from ACL Analytics to create a new Pinterest 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.

1. With your Analytics File open, select 'Import' --> 'Database and application'
2. Create a new SQL Server connection
3. 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 Pinterest connection, for example, Pinterest1
   
4. Click "Test Connection"
5. Click "OK"
6. You are now ready to work with your Pinterest data in ACL Analytics!

Live connections to Pinterest data from your applications

ACL Analytics can now connect to live Pinterest data directly through Connect AI, allowing you to analyze Pinterest 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!