Before you can move data to RabbitMQ, you need to have RabbitMQ and its dependency, Erlang, installed on your system. Download and install the latest versions of both RabbitMQ and Erlang from their official websites. Ensure RabbitMQ is running by starting the RabbitMQ server.

Configure your RabbitMQ environment by accessing the management plugin. Enable the RabbitMQ management plugin if it is not already enabled by executing `rabbitmq-plugins enable rabbitmq_management`. Access the management UI via `http://localhost:15672` using the default credentials (user: `guest`, password: `guest`) or set up a new user with appropriate permissions.

In RabbitMQ, data is sent to queues. Define a queue where the data will be sent. You can create a queue using the management UI or by writing a script using RabbitMQ's CLI. For example, to create a queue named `data_queue`, use the command:
```
rabbitmqadmin declare queue name=data_queue durable=true
```
This command makes sure that the queue is durable and persists across RabbitMQ restarts.

Create a script in your preferred programming language that will act as a producer to send data to the RabbitMQ queue. Use RabbitMQ's native client libraries, like `pika` for Python or `amqp` for Node.js. For example, with Python and `pika`, establish a connection, create a channel, and publish messages to the `data_queue`.

Example in Python:
```python
import pika

connection = pika.BlockingConnection(pika.ConnectionParameters('localhost'))
channel = connection.channel()
channel.queue_declare(queue='data_queue', durable=True)

def send_data(data):
channel.basic_publish(exchange='',
routing_key='data_queue',
body=data,
properties=pika.BasicProperties(
delivery_mode=2, # make message persistent
))
print(f" [x] Sent {data}")

send_data('Hello, RabbitMQ!')
connection.close()
```

Format your data appropriately before transferring it to RabbitMQ. Ensure the data is serialized into a string format that can be transmitted over RabbitMQ, such as JSON. This step involves converting the data from its current format into a string representation, if necessary.

Use the producer script to send the prepared data to the RabbitMQ queue. Call the function defined in your producer script to publish the data. Make sure the data is sent in manageable chunks if you are transferring large datasets.

Confirm that the data has been successfully transferred to RabbitMQ. You can do this by checking the queue in the RabbitMQ management UI or writing a simple consumer script to read from the queue and print the messages. This step ensures that the data is correctly queued and ready for processing by consumers.

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