AWS Glue

AWS Glue is a fully managed extract, transform, and load (ETL) service that automates the process of preparing and loading data for analytics. It provides a serverless environment to discover, catalog, clean, enrich, and move data between various data stores. Developers can use it to create and run ETL jobs with minimal infrastructure management.

Also known as: Amazon Glue, Glue AWS, AWS Glue ETL, Glue Data Catalog, Amazon Web Services Glue

Why learn AWS Glue?

Developers should learn AWS Glue when building data pipelines in the AWS ecosystem, especially for big data processing, data warehousing, and machine learning workflows. It is ideal for scenarios requiring automated data cataloging, schema inference, and serverless ETL, such as integrating data from sources like S3, RDS, and DynamoDB into analytics services like Amazon Redshift or Athena.

Learning Resources

• docs: AWS Glue Developer Guide
• tutorial: AWS Glue Tutorial on AWS
• course: AWS Glue Course on Coursera
• video: Introduction to AWS Glue - YouTube
• book: AWS Glue: The Definitive Guide (Book)