How to load data from SFTP Bulk to S3 Glue

Learn how to use Airbyte to synchronize your SFTP Bulk data into S3 Glue within minutes.

Try Airbyte Cloud Manual method (the hard way)

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Building in-house pipelines

Bespoke pipelines are:

Inconsistent and inaccurate data
Laborious and expensive
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Furthermore, you will need to build and maintain Y x Z pipelines with Y sources and Z destinations to cover all your needs.

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All your pipelines in minutes, however custom they are, thanks to Airbyte’s connector marketplace and AI Connector Builder.

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 S3 Glue 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 S3 Glue 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.

Try Airbyte Cloud Manual method (the hard way)

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Check out our interactive demo and our how-to videos to learn how you can sync data from any source to any destination.

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Try Airbyte Cloud Manual method (the hard way)

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Modern GenAI Workflows

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Quickly get up and running with a 5-minute setup that enables both incremental and full refreshes for databases of any size, seamlessly scaling to handle large data volumes. Our optimized architecture overcomes performance bottlenecks, ensuring efficient data synchronization even as your datasets grow from gigabytes to petabytes.

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Fully Featured & Integrated

Airbyte automates schema evolution for seamless data flow, and utilizes efficient Change Data Capture (CDC) for real-time updates. Select only the columns you need, and leverage our dbt integration for powerful data transformations.

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How to Sync to Manually

Step 1: Set Up AWS CLI and Configure AWS Credentials

Ensure you have the AWS Command Line Interface (CLI) installed on your local machine. Use the `aws configure` command to set up your AWS credentials, including your Access Key ID, Secret Access Key, default region, and output format. This setup will allow you to interact with AWS services from your local machine.

Step 2: Establish a Secure Connection to SFTP Server

Use a secure method such as SSH to connect to your SFTP server. You can use command-line tools like `sftp` or `scp` for this purpose. Authenticate using your credentials (username and password or SSH keys) to gain access to the files you need to move.

Step 3: Download Data Files from SFTP Server

Once connected to the SFTP server, navigate to the directory containing the files you wish to transfer. Use the `get` command to download files to your local machine. If dealing with multiple files, use `mget` with wildcard characters to download them in bulk.

Step 4: Organize and Prepare Data Locally

After downloading, organize your data files into a structured directory on your local machine. Ensure the files are in a format compatible with AWS Glue, such as CSV, JSON, or Parquet. If necessary, perform any data cleaning or transformation at this stage to prepare the data for further processing.

Step 5: Upload Data to Amazon S3

Use the AWS CLI to upload your prepared data files from the local directory to an Amazon S3 bucket. Execute the command `aws s3 cp [local-directory] s3://[your-bucket-name]/[desired-s3-path] --recursive` to transfer all files in the directory to the specified S3 bucket and path.

Step 6: Create an AWS Glue Crawler

In the AWS Management Console, navigate to the AWS Glue service and create a new crawler. Configure the crawler to point to the S3 bucket location where your data is stored. Specify the AWS Glue Data Catalog as the target for the schema of your data. This will allow AWS Glue to automatically detect the structure of your data files and create a corresponding table in the Data Catalog.

Step 7: Run the Glue Crawler and Validate the Data Catalog

Start the Glue crawler to begin the scanning process of your S3 data. Once the crawler completes, navigate to the AWS Glue Data Catalog to verify that your tables have been created successfully. Check that the schema correctly reflects the structure of your data files, ensuring that the data is ready for use in future ETL processes or analysis.