Before you begin, analyze the data structure in Hellobaton. Identify key data elements and how they will map to Redis data types (strings, hashes, lists, sets, etc.). This understanding will guide your data export and import process.

Access Hellobaton and export the data you need. This might involve using any available export features within Hellobaton to download data in a common format like CSV, JSON, or XML. Ensure all necessary data is included in this export.

Once exported, examine the data file(s) to ensure all necessary information is present and clean. Modify the data format if necessary to ensure compatibility with Redis. If your data is in CSV format, consider converting it to JSON for easier parsing in Redis.

Install and configure Redis on your server if it is not already set up. Ensure you have access to the Redis CLI or another tool to interact with your Redis instance. Verify that Redis is running and accessible.

Create a script using a language like Python, Node.js, or Ruby to read the exported data file and use Redis commands to insert the data. For example, in Python, you might use the `redis-py` library to connect to Redis and load data using `SET` or `HMSET` commands for each record.

Run your import script in a test environment first. Verify that all data is correctly inserted into Redis and that the structure of the data matches your expectations. Check for any errors or discrepancies and adjust your script accordingly.

Once the test run is successful, execute the script in your production environment. Monitor the process to ensure data is imported correctly and efficiently. After the import, perform data integrity checks to confirm that all data has been transferred accurately from Hellobaton to Redis.

By following these steps, you can manually move data from Hellobaton to Redis while maintaining control over the process and ensuring data integrity.