Start by gaining access to the Adjust API. You will need API credentials, including an API key or token, which can be obtained from your Adjust account settings. This will allow you to programmatically extract data from Adjust.

Determine the specific data you need to transfer from Adjust. This could include user analytics, campaign performance data, or event tracking information. Clearly defining this will guide your API requests and data handling.

Develop a script in a programming language of your choice (such as Python, JavaScript, or Ruby) to query the Adjust API. Use HTTP requests to fetch the required data. You may need to utilize libraries such as `requests` in Python to facilitate these API calls.

Once data is extracted, transform it into a format compatible with Redis. Redis typically stores data in key-value pairs or data structures like hashes, sets, and lists. Ensure your script converts the Adjust data into a suitable format for Redis storage.

Establish a connection to your Redis database. Use a Redis client library appropriate for your programming language (e.g., `redis-py` for Python). This connection will allow your script to interact with the Redis server and perform data operations.

With a connection established, use your script to load the transformed data into Redis. Utilize Redis commands to set keys and values, or use hashes and other data structures depending on your data format. Ensure data integrity by validating successful write operations.

Automate the data transfer process by scheduling your script to run at regular intervals. Use cron jobs on a Unix-based system or Task Scheduler on Windows to execute the script periodically. This ensures your Redis database stays updated with the latest data from Adjust.
By following these steps, you can efficiently move data from Adjust to Redis without relying on third-party connectors or integrations.