Connect to Pinterest Data in DBeaver

The CData ODBC Driver for Pinterest enables access to live data from Pinterest under the ODBC standard, allowing you work with Pinterest data in a wide variety of BI, reporting, and ETL tools and directly, using familiar SQL queries. This article shows how to manage Pinterest data with visual tools in DBeaver like the query browser.

The CData ODBC drivers offer unmatched performance for interacting with live Pinterest data in DBeaver due to optimized data processing built into the driver. When you issue complex SQL queries from DBeaver to Pinterest, the driver pushes supported SQL operations, like filters and aggregations, directly to Pinterest and utilizes the embedded SQL engine to process unsupported operations (often SQL functions and JOIN operations) client-side. With built-in dynamic metadata querying, you can manage and analyze Pinterest data.

Connect to Pinterest

If you have not already done so, provide values for the required connection properties in the data source name (DSN). You can configure the DSN using the Microsoft ODBC Data Source Administrator. This is also the last step of the driver installation. See the "Getting Started" chapter in the Help documentation for a guide to using the Microsoft ODBC Data Source Administrator to create and configure a DSN.

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.

Finally, set the "Map To WVarchar connection property to False in the DSN Configuration window for the driver. This configuration will allow string types to be mapped to SQL_VARCHAR and prevent SQL_WVARCHAR types from being displayed as NULL.

Connecting to the Pinterest ODBC Data Source in DBeaver

1. Open the DBeaver application and in the Database menu, select the New Database Connection option.
2. In the 'Connect to a database' window, select ODBC and click Next.
3. In the Database/Schema field, enter the DSN name (CData Pinterest Source by default). It will be automatically added to the JDBC URL as well.
4. Click the Test Connection button. You should receive a 'Connected' message after DBeaver has detected the DSN, along with details about the driver if the connection is successful.

Query Pinterest Data

You can now query information from the tables exposed by the data source connection. You can expand the database structure in order to view all the tables. You can retrieve the table's data by right-clicking on a table name and selecting View data. The data will then be available in the Data tab.

Free Trial & More Information

At this point, you have connected to live Pinterest data from DBeaver. For more information, visit the CData ODBC Driver page. Download a free, 30-day trial and start working live Pinterest data DBeaver today.