Ensure that both MySQL and Redis are installed and running on your system. You will need the MySQL client to execute SQL queries and the Redis CLI to interact with your Redis server. Verify connectivity to both databases to avoid issues during data transfer.

Use a MySQL client or script to query the data you need to move. For instance, using a Python script with a MySQL connector, you can execute a SELECT statement to retrieve data. Store this data in a suitable format in your script, typically as dictionaries or lists.

Once you have the data from MySQL, it's important to transform it into a format suitable for Redis. Decide on the appropriate Redis data structure (e.g., String, Hash, List, Set) based on how you plan to use the data. For example, if you're transferring user profiles, a Hash might be appropriate.

Establish a connection to your Redis server using a Redis client library, such as `redis-py` in Python. This involves specifying the host and port of your Redis server and testing the connection to ensure it is successful.

Using the connection established in the previous step, iterate over your transformed data and load it into Redis. Use Redis commands that correspond to the data structure you've chosen. For example, if using Hashes, the `hmset` command can be used to insert each key-value pair into Redis.

After loading the data into Redis, verify that the data has been transferred correctly. You can do this by querying Redis for a few sample entries and comparing them with the original data in MySQL. Use Redis CLI commands to perform these checks.

If this data transfer needs to be performed regularly, consider automating the process with a script or cron job. Ensure that the script handles exceptions and logs errors to facilitate troubleshooting. This step can save time and reduce manual errors in repeated data transfers.