Before beginning the process, familiarize yourself with the structure and format of Wikipedia pageviews data. Wikipedia provides pageviews data through its Pageviews API, which can be accessed via HTTP GET requests. Review the API documentation to understand the parameters, endpoints, and response format.

Prepare your working environment by installing necessary tools and libraries that you will use to make HTTP requests and interact with Redis. Commonly used libraries include `requests` for HTTP requests and `redis-py` for interacting with Redis. Ensure Python is installed on your system.

Using the `requests` library in Python, construct an HTTP GET request to the Wikipedia Pageviews API endpoint. Specify the desired parameters like project, access method, agent type, start and end dates, and page title. Execute the request and handle the response to extract the pageviews data.

```python
import requests

url = 'https://wikimedia.org/api/rest_v1/metrics/pageviews/per-article/en.wikipedia/all-access/all-agents/Python_(programming_language)/daily/20230101/20230131'
response = requests.get(url)
data = response.json()
```

Install and run a Redis server on your local machine or a server. Ensure that Redis is configured to accept connections on the default port (6379). You can download Redis from the official website and follow the installation instructions for your operating system.

Extract the relevant data from the API response and format it as needed before storing it in Redis. This may involve iterating over the JSON response, extracting pageviews, and organizing them into a dictionary or a list. Ensure that the data format is suitable for the operations you plan to perform in Redis.

```python
pageviews = {}
for item in data['items']:
date = item['timestamp']
views = item['views']
pageviews[date] = views
```

Establish a connection to the Redis server using the `redis-py` library. Store the processed pageviews data in Redis using appropriate data structures like strings, hashes, or lists, depending on your use case. Ensure data keys are uniquely named to avoid conflicts.

```python
import redis

r = redis.Redis(host='localhost', port=6379, db=0)
for date, views in pageviews.items():
r.set(f'pageviews:{date}', views)
```

After storing the data, verify that it has been correctly saved in Redis by retrieving and printing some of the entries. Implement and test a retrieval strategy to access and use the data as needed for your application or analysis.

```python
# Verify data storage
stored_views = r.get('pageviews:20230101')
print(f'Pageviews on 2023-01-01: {stored_views}')
```

By following these steps, you can effectively move data from Wikipedia pageviews to Redis without relying on third-party connectors or integrations.