Begin by extracting the data you need from Vantage using SQL queries. You can do this via Vantage's SQL interface or by using command-line tools like BTEQ (Basic Teradata Query). Ensure that you have the necessary permissions to access and export the data. Save the extracted data into a CSV or another compatible format for easy processing.

Prepare your local or server environment where you'll handle the data transfer. Ensure you have Python installed, as it provides a robust set of libraries for data handling. Install necessary packages such as `pandas` for data manipulation and `redis` for interacting with a Redis database.

Load the extracted data into a pandas DataFrame for easy manipulation. Process this data to convert it into a suitable format for Redis. Redis is a key-value store, so you'll need to structure your data accordingly. Decide on a schema that makes sense for your application; for instance, you could use unique identifiers from your dataset as keys and store the corresponding data as values.

If you haven't already, install and configure a Redis server on your local machine or a dedicated server. Ensure that Redis is running and accessible. You can download Redis from the official website and follow the installation instructions for your operating system.

Use a Python script to write the processed key-value pairs to Redis. Connect to your Redis instance using the `redis-py` library. Loop through your DataFrame, inserting each key-value pair into Redis using commands like `set` for simple key-value storage or `hmset` for hash maps if your data is more complex.

After writing the data to Redis, it's important to verify that the data has been stored correctly. You can use the Redis CLI to manually check a few key-value pairs or write a Python script to automate the verification process. Ensure the data integrity by checking that the number of keys in Redis matches your expectations.

Once you've successfully transferred data from Vantage to Redis, consider automating the process for future data transfers. You can create a Python script that encapsulates all the steps: extracting data, processing it, and writing it to Redis. Use tools like cron jobs on Unix-based systems or Task Scheduler on Windows to schedule regular updates.

By following these steps, you can efficiently transfer data from Vantage to Redis without relying on third-party connectors or integrations.