1. Install AWS SDK: Ensure that the AWS SDK for your preferred programming language is installed on your machine. AWS provides SDKs for several languages including Python (Boto3), JavaScript (AWS SDK for JavaScript), Java, etc.

2. Install Redis client: Install a Redis client library for your programming language. For example, for Python you can use `redis-py`, and for Node.js you can use `node_redis`.

3. Configure AWS credentials: Configure your AWS credentials using AWS CLI or by setting up your environment variables. Ensure you have the necessary permissions to read from the DynamoDB table.

4. Set up Redis: Make sure you have Redis installed and running either locally or on a server. You should have the connection details including host, port, and any authentication required.

1. Initialize AWS SDK: Write a script or application and initialize the AWS SDK with the correct region and credentials.

2. Scan or Query DynamoDB: Depending on the amount of data, you can either use `Scan` or `Query` operation to retrieve data from DynamoDB. Be aware that `Scan` is less efficient and more costly for large datasets.

3. Handle pagination: DynamoDB may paginate the results if the dataset is large. Make sure your script can handle pagination and retrieve all the data.

1. Initialize Redis client: Initialize the Redis client with the connection details.

2. Transform data (if necessary): Depending on how you want to store the data in Redis, you might need to transform the data into the appropriate format (e.g., strings, hashes, lists, sets, sorted sets).

3. Write to Redis: Use the appropriate Redis commands to write the data to Redis. This could be `SET`, `HSET`, `LPUSH`, `SADD`, etc., depending on the data structure chosen.

1. DynamoDB errors: Implement error handling for issues that might arise when reading from DynamoDB, such as provisioned throughput exceeding or other API errors.

2. Redis errors: Similarly, handle any errors that might occur when writing to Redis, such as connection issues or command errors.

3. Data consistency: Ensure that the data transfer is consistent. Implement retries or rollback mechanisms in case of partial failures.

1. Test: Before running the migration on the entire dataset, perform a test run with a small subset of data to ensure that everything works as expected.

2. Run the script: Once you're confident that the script works correctly, execute it to transfer all the data from DynamoDB to Redis.

3. Monitor: Monitor the migration process for any errors or performance issues.

4. Validation: After the migration is complete, validate that the data in Redis is accurate and complete.

1. Cleanup: Clean up any resources that were used temporarily during the migration.

2. Optimization: Depending on the use case, you might want to optimize the data structures in Redis for better performance.

3. Backup: Consider taking a backup of the Redis data after the migration.

Example Code Snippet

Below is a simplified example in Python using Boto3 for DynamoDB and redis-py for Redis:

```python

import boto3

import redis

# Initialize DynamoDB client

dynamodb = boto3.resource('dynamodb', region_name='your-region')

table = dynamodb.Table('your-dynamodb-table')

# Initialize Redis client

r = redis.Redis(host='your-redis-host', port=6379, db=0)

# Function to transfer data

def transfer_data():

    start_key = None

    while True:

        # Read from DynamoDB

        if start_key:

            response = table.scan(ExclusiveStartKey=start_key)

        else:

            response = table.scan()

        # Write to Redis

        for item in response['Items']:

            r.set(item['yourPrimaryKey'], str(item))

        # Handle pagination

        start_key = response.get('LastEvaluatedKey', None)

        if not start_key:

            break

# Error handling omitted for brevity

transfer_data()

```

Remember to replace placeholders like `'your-region'`, `'your-dynamodb-table'`, `'your-redis-host'`, and `'yourPrimaryKey'` with your actual configuration values. Also, add error handling and data transformation as needed.

This guide provides a high-level overview of the process. The actual implementation may vary based on the specifics of your DynamoDB schema and Redis data model, as well as the programming language and libraries you choose to use.