Begin by installing Redis on your local machine or server. You can download the latest stable version from the official Redis website. Follow the installation instructions specific to your operating system to ensure Redis is correctly installed and running.

Identify the data you want to move to Redis. This could be in the form of a CSV file, a database, or another structured data format. Ensure the data is clean and formatted correctly, as this will facilitate easier insertion into Redis.

Choose a Redis client library suitable for your programming language (e.g., redis-py for Python, node_redis for Node.js). Install the client using your language's package manager (e.g., pip for Python or npm for Node.js). This library will allow your application to communicate with the Redis server.

Use the Redis client library to establish a connection to your Redis server. You will typically need to specify the host (usually localhost if running locally) and the port (default is 6379). Here's an example in Python:
```python
import redis
client = redis.StrictRedis(host='localhost', port=6379, db=0)
```

Redis primarily stores data in key-value pairs. Convert your data into this format. For instance, if you have a CSV file, you might use the first column as the key and the remaining data as the value. Ensure all data is serialized appropriately, especially if you need to store complex data structures like lists or hashes.

Iterate over your data and use the Redis client library to insert each item into Redis. The method to use depends on your data structure; for example, use `SET` for simple key-value pairs, `LPUSH` for lists, or `HSET` for hashes. Example in Python:
```python
for key, value in your_data.items():
client.set(key, value)
```

After inserting all data, verify the data integrity by retrieving a few sample entries from Redis. Use methods like `GET`, `LRANGE`, or `HGET` depending on your data structure. This ensures that the data was correctly inserted and is accessible as expected.

Following these steps, you can successfully move data into Redis without relying on third-party connectors or integrations. Always ensure you handle any exceptions or errors during this process to maintain data integrity and application stability.