AWS Glue automates data discovery and schema inference by crawling raw datasets stored in Amazon S3, creating a centralized data catalog that makes the data structured and query-ready. AWS Lake Formation builds on top of this catalog by providing fine-grained access control and data governance, ensuring only authorized roles can access or modify specific datasets within the data lake.
Amazon Athena, a serverless interactive query service, integrates seamlessly with the Glue Data Catalog to execute SQL queries directly on S3 data without the need for ETL pipelines or infrastructure management.
In this Challenge Cloud Lab, you’ll configure an AWS Glue crawler to catalog customer feedback data stored in an S3 bucket, define and secure access to data using AWS Lake Formation, and then use Amazon Athena to query and analyze the data efficiently.
