How to load data from SFTP Bulk to DynamoDB

Learn how to use Airbyte to synchronize your SFTP Bulk data into DynamoDB within minutes.

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Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a SFTP Bulk connector in Airbyte

Connect to or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up DynamoDB for your extracted SFTP Bulk data

Select where you want to import data from your source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the SFTP Bulk to DynamoDB in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.

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How to Sync to Manually

Step 1: Set Up Your AWS Environment

First, ensure you have an AWS account and have created the necessary IAM roles with appropriate permissions to access DynamoDB. Install and configure the AWS CLI on your local machine to interact with AWS services. You may also need to set up an EC2 instance if you plan to run the script from AWS.

Step 2: Access SFTP Server

Use an SFTP client like `sftp` or `scp` command-line tools to connect to the SFTP server from your local machine or EC2 instance. You will need the hostname, port, username, and authentication method (password or SSH key). Test the connection to ensure you can access the files.

Step 3: Download Data from SFTP

Once connected to the SFTP server, navigate to the directory containing the data files. Use the `get` command to download the data files to your local machine or EC2 instance. If you have multiple files, you can use a loop or wildcard to download all files at once, depending on your SFTP client capabilities.

Step 4: Parse and Transform Data

After downloading the files, write a script in Python or another language that reads and parses the data. Use libraries like `csv` for CSV files or `json` for JSON files. During this step, transform the data into a format that fits the structure of your DynamoDB table, ensuring that you handle data types and attribute names correctly.

Step 5: Batch Write to DynamoDB

Use the AWS SDK for Python (Boto3) or another language to interact with DynamoDB. Implement batch write operations to efficiently insert data into your DynamoDB table. The `batch_write_item` method allows you to insert up to 25 items at a time. Handle exceptions and implement retries for any failed operations to ensure data integrity.

Step 6: Verify Data Integrity

After the data is uploaded, verify that the records have been correctly inserted into DynamoDB. You can do this by querying the table using the AWS CLI or Boto3 to fetch a few records and compare them with the original data files. This step is crucial to ensure the migration was successful.

Step 7: Automate the Process

Finally, automate the entire process using a script or cron job. You can schedule this script to run at regular intervals, ensuring that new data from the SFTP server is consistently moved to DynamoDB. Make sure to include logging and error-handling mechanisms in your script for easier maintenance and debugging.

By following these steps, you can efficiently move data from an SFTP server to DynamoDB without relying on third-party connectors or integrations.