Amazon Bedrock Data Automation (BDA) is a fully managed service that allows you to effortlessly extract, transform, and load unstructured or semi-structured documents using generative AI. By using custom blueprints, it eliminates the need for manual data entry, interpreting complex forms, and outputting standardized JSON payloads for downstream processing.
Amazon S3 Tables and Amazon Athena work seamlessly together to provide a modern, open-table Lakehouse architecture. S3 Tables offers highly performant, purpose-built storage for Apache Iceberg formatted data, while Athena provides a serverless SQL engine to instantly query, insert, and manipulate that data without the need to manage underlying infrastructure.
In this Challenge Cloud Lab, you’ll build an event-driven AI data extraction and routing pipeline for an educational institution. This system automatically captures uploaded student enrollment forms, dynamically extracts specific fields using a custom generative AI blueprint, and seamlessly inserts the processed records into a structured S3 table bucket. Behind the scenes, it uses Amazon S3 Event Notifications and AWS Lambda to orchestrate the asynchronous flow, ensuring a highly scalable, serverless, and fully automated data ingestion process.
