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.
Building your pipeline or Using Airbyte
Airbyte is the only open source solution empowering data teams to meet all their growing custom business demands in the new AI era.
Building in-house pipelines
- Inconsistent and inaccurate data
- Laborious and expensive
- Brittle and inflexible
After Airbyte
- Reliable and accurate
- Extensible and scalable for all your needs
- Deployed and governed your way
Start syncing with Airbyte in 3 easy steps within 10 minutes
Take a virtual tour
Demo video of Airbyte Cloud
Demo video of AI Connector Builder
Setup Complexities simplified!
Simple & Easy to use Interface
Airbyte is built to get out of your way. Our clean, modern interface walks you through setup, so you can go from zero to sync in minutes—without deep technical expertise.
Guided Tour: Assisting you in building connections
Whether you’re setting up your first connection or managing complex syncs, Airbyte’s UI and documentation help you move with confidence. No guesswork. Just clarity.
Airbyte AI Assistant that will act as your sidekick in building your data pipelines in Minutes
Airbyte’s built-in assistant helps you choose sources, set destinations, and configure syncs quickly. It’s like having a data engineer on call—without the overhead.
What sets Airbyte Apart
Modern GenAI Workflows
Streamline AI workflows with Airbyte: load unstructured data into vector stores like Pinecone, Weaviate, and Milvus. Supports RAG transformations with LangChain chunking and embeddings from OpenAI, Cohere, etc., all in one operation.
Move Large Volumes, Fast
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.
An Extensible Open-Source Standard
More than 1,000 developers contribute to Airbyte’s connectors, different interfaces (UI, API, Terraform Provider, Python Library), and integrations with the rest of the stack. Airbyte’s AI Connector Builder lets you edit or add new connectors in minutes.
Full Control & Security
Airbyte secures your data with cloud-hosted, self-hosted or hybrid deployment options. Single Sign-On (SSO) and Role-Based Access Control (RBAC) ensure only authorized users have access with the right permissions. Airbyte acts as a HIPAA conduit and supports compliance with CCPA, GDPR, and SOC2.
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.
Enterprise Support with SLAs
Airbyte Self-Managed Enterprise comes with dedicated support and guaranteed service level agreements (SLAs), ensuring that your data movement infrastructure remains reliable and performant, and expert assistance is available when needed.
What our users say
Raman Singh
Predictable, straightforward pricing model that simplified budgeting and significantly reduced overall spend
Chase Zieman
“Airbyte helped us accelerate our progress by years, compared to our competitors. We don’t need to worry about connectors and focus on creating value for our users instead of building infrastructure. That’s priceless. The time and energy saved allows us to disrupt and grow faster.”
Rupak Patel
"With Airbyte, we could just push a few buttons, allow API access, and bring all the data into Google BigQuery. By blending all the different marketing data sources, we can gain valuable insights."
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.
Step 2: Create an S3 Bucket
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.
Step 3: Upload Parquet File to Source Location
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.
Step 4: Create an AWS Glue Crawler
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.
Step 5: Run the Crawler and Verify the Schema
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.
Step 6: Set Up an AWS Glue ETL Job
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.
Step 7: Run the ETL Job and Verify Data Transfer
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.