How to load data from Parquet File to S3 Glue

Learn how to use Airbyte to synchronize your Parquet File data into S3 Glue within minutes.

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Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Parquet File 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 Parquet File 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 Parquet File 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.
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How to Sync to Manually

Step 1: Set Up AWS Environment

Begin by ensuring that you have an AWS account with the necessary permissions to access AWS Glue, S3, and IAM. Log into the AWS Management Console and navigate to the AWS Glue service to start setting up your environment.

Go to the S3 service in your AWS Management Console and create a new bucket where you will store your data. Ensure the bucket is in the same region as AWS Glue to avoid cross-region data transfer issues. Set the appropriate permissions to allow AWS Glue to write to this bucket.

Upload your Parquet file to a source location accessible by AWS Glue. This can be an existing S3 bucket. Make sure that the IAM role used by AWS Glue has read access to this bucket.

In AWS Glue, create a crawler to read the schema from your Parquet file. Configure the crawler to point to the S3 bucket where your Parquet file is located. Set the crawler to create a new database or select an existing one to store the metadata.

Execute the crawler to extract the schema information from your Parquet file. Once the crawler completes, navigate to the Glue Data Catalog to verify that the schema was correctly interpreted and stored.

Create a new ETL job in AWS Glue. Configure the job to use the data source (from the Data Catalog) identified by the crawler. Specify the target as your new S3 bucket. Ensure that the IAM role associated with the Glue job has the necessary permissions to read from the source and write to the target S3 bucket.

Execute the ETL job. Monitor the job through the AWS Glue Console to ensure it runs successfully. Once completed, go to your target S3 bucket and verify that the data has been transferred correctly. Check the data format and integrity to ensure the process was successful.

By following these steps, you can move data from a Parquet file to S3 using AWS Glue without relying on third-party tools or integrations.