Begin by familiarizing yourself with the Zendesk Talk API. Review the API documentation to understand the available endpoints, authentication methods, and data formats. This step is crucial to identify how to extract the specific data you need from Zendesk Talk.

To interact with the Zendesk Talk API, you need to authenticate your requests. Use basic authentication by encoding your Zendesk email address and password or API token. Ensure your account has the appropriate permissions to access the data.

Construct HTTP requests to the relevant Zendesk Talk API endpoints to extract the data. For example, use the "Calls" endpoint to retrieve call records. Use tools like `curl` or programming languages such as Python to automate the data retrieval process. Ensure you handle pagination if the data exceeds one page of results.

Once the data is extracted from Zendesk Talk, transform it into a format that is compatible with your Oracle Database. This often involves converting the data into CSV or SQL insert statements. You may need to clean or normalize the data to match the schema of your Oracle tables.

Establish a connection to your Oracle Database using tools like SQL*Plus, Oracle SQL Developer, or a custom script in a programming language like Python using libraries such as cx_Oracle. Ensure you have the necessary database credentials and permissions to insert data.

Use SQL insert statements to load the transformed data into the appropriate tables in your Oracle Database. Make sure to handle any potential data type mismatches or constraints, such as primary keys or foreign key relationships, that could lead to insertion errors.

After inserting the data, verify that it was transferred correctly by running queries to check for consistency and completeness. Once verified, consider automating the entire process using scripts or scheduled tasks to routinely transfer new data from Zendesk Talk to your Oracle Database as needed.