1. Install Redis:

   - Download and install Redis from the official website or use a package manager if you are on Linux.

   - Start the Redis server on your local machine or remote server.

2. Install SQL Server Management Studio (SSMS):

   - Download and install SSMS if you haven't already to manage your SQL Server instance.

   - Connect to your SQL Server instance using SSMS.

3. Install Development Tools:

   - Choose a programming language that you are comfortable with and which has support for both SQL Server and Redis clients (e.g., Python, C#, Java).

   - Install the necessary SDKs or development tools for that language.

1. Write a Query to Select Data:

   - Write a SQL query to select the data you want to move to Redis. Make sure the data is in the correct format for Redis.

2. Connect to SQL Server in Your Code:

   - Use the appropriate SQL Server client library for your chosen language to connect to the SQL Server database.

   - Execute the query to fetch the data.

1. Data Conversion:

   - Convert the data into a format suitable for Redis. Redis typically stores data as strings, hashes, lists, sets, or sorted sets.

   - Ensure that the data types and structures are compatible with how you intend to access them in Redis.

1. Connect to Redis in Your Code:

   - Use the Redis client library for your chosen language to connect to the Redis server.

   - Ensure you handle authentication and select the appropriate database if needed.

2. Write Data to Redis:

   - Use the Redis client's API to write the data to Redis.

   - Choose the appropriate Redis data structures (e.g., SET, HSET, LPUSH) based on your data's nature and intended use.

1. Check the Data:

   - After loading the data, verify that the data in Redis is correct and consistent with what was in SQL Server.

   - You can write a script to fetch some data from Redis and compare it with the original data from SQL Server.

1. Create a Script:

   - Combine the steps above into a single script or application that can be executed with a single command.

   - Add error handling and logging to make sure you can troubleshoot any issues that arise.

2. Schedule the Script:

   - If you need to move data regularly, consider using a task scheduler like cron on Linux or Task Scheduler on Windows to run your script at regular intervals.

Example Code Snippet (Python)

Here's a simplified example using Python with `pyodbc` for SQL Server and `redis-py` for Redis:

```python

import pyodbc

import redis

# SQL Server connection

conn = pyodbc.connect('DRIVER={ODBC Driver 17 for SQL Server};SERVER=your_server;DATABASE=your_db;UID=your_user;PWD=your_password')

cursor = conn.cursor()

cursor.execute('SELECT key_column, value_column FROM your_table')

# Redis connection

r = redis.Redis(host='localhost', port=6379, db=0, password='your_password')

# Transfer data

for row in cursor:

    key = row.key_column

    value = row.value_column

    r.set(key, value)

# Close connections

cursor.close()

conn.close()

```

Replace `your_server`, `your_db`, `your_user`, `your_password`, `key_column`, `value_column`, and `your_table` with your actual SQL Server details and the appropriate column names and table from which you want to extract data.

Note: This is a very basic example and doesn't include error handling, data transformation, or complex data structures. You will need to modify this code to fit your specific use case and ensure robustness for production use.