1. Install AWS CLI: Make sure you have the AWS Command Line Interface (CLI) installed and configured with the necessary permissions to access your DynamoDB tables.

2. Install MongoDB: Ensure that MongoDB is installed on your server or local machine where you want to import the data. Also, make sure you have the `mongoimport` tool, which comes with MongoDB.

3. Install Python (Optional): If you plan to use a script to extract and transform the data, Python is a good choice due to its rich set of libraries for working with both AWS services and data transformation.

4. Install Required Libraries (Optional): If using Python, install the `boto3` library for interacting with AWS services and `pymongo` for MongoDB.

   ```bash

   pip install boto3 pymongo

   ```

1. Scan or Query DynamoDB Table: Use the `aws dynamodb scan` command to export the entire table or `aws dynamodb query` for specific items. For large tables, consider using the `--page-size`, `--max-items`, or `--starting-token` parameters to paginate results.

   ```bash

   aws dynamodb scan --table-name YourDynamoDBTableName --page-size 100 --output json > dynamodb_data.json

   ```

2. Handle Large Data Sets: If your table is large, you may need to write a script to handle the scan operation and manage pagination. AWS SDKs like `boto3` in Python can help with this.

1. Convert Data to MongoDB Format: DynamoDB and MongoDB have different data models. You'll need to transform the JSON data from DynamoDB into a format that MongoDB can understand. This typically involves mapping DynamoDB types to MongoDB types.

2. Write a Transformation Script (Optional): If the data requires complex transformations, write a script to process the exported JSON file and convert it into the proper format for MongoDB. Here's a high-level example using Python:

   ```python

   import json

   # Load the DynamoDB data exported as JSON

   with open('dynamodb_data.json', 'r') as file:

       dynamodb_data = json.load(file)

   # Transform the data to MongoDB format

   mongodb_data = []

   for item in dynamodb_data['Items']:

       mongodb_item = transform_to_mongodb_format(item)  # Implement this function based on your data

       mongodb_data.append(mongodb_item)

   # Save the transformed data to a new JSON file

   with open('mongodb_data.json', 'w') as file:

       json.dump(mongodb_data, file)

   ```

1. Use `mongoimport` to Import Data: With the data transformed into a MongoDB-friendly format, use the `mongoimport` tool to import the data into your MongoDB database.

   ```bash

   mongoimport --db YourMongoDBDatabase --collection YourMongoDBCollection --file mongodb_data.json

   ```

2. Verify the Data: After the import is complete, connect to your MongoDB database and verify that the data has been imported correctly.

   ```bash

   mongo YourMongoDBDatabase

   db.YourMongoDBCollection.find().limit(10)

   ```

1. Remove Temporary Files: If you created any temporary files during the transformation process, remember to delete them if they are no longer needed.

2. Review Security: Ensure that any scripts or tools used in the process follow best security practices, such as not hardcoding credentials.

Additional Tips

• Backup Your Data: Always back up your DynamoDB data before starting the migration process to prevent data loss.
• Monitor Throughput: Keep an eye on read/write throughput on both DynamoDB and MongoDB to avoid throttling.
• Test the Process: Run a test migration with a subset of the data to ensure that everything works as expected before performing the full migration.

By following these steps, you should be able to migrate data from DynamoDB to MongoDB without using third-party connectors or integrations. Remember to tailor the transformation script to your specific data schema and requirements.