What is Amazon Glue?
Learn about Amazon Glue features, how to get started, and how to access
Amazon Glue.
Discover and organize data
Get started with the Amazon Glue Data Catalog
Use this tutorial to create your first Amazon Glue Data Catalog, which uses an Amazon S3 bucket as your data source.
Populate your Data Catalog with crawlers
Populate the Amazon Glue Data Catalog with metadata tables from data stores that you
define.
Add connections to your Data Catalog
Use Amazon Glue connections to access certain types of data stores.
Author and run data integration jobs
Create Amazon Glue jobs visually with Amazon Glue Studio
Create jobs through Amazon Glue Studio, a graphical interface that makes it easy to create, run, and monitor integration jobs.
Write an Amazon Glue ETL script
Write an Amazon Glue extract, transform, and load (ETL) script through this tutorial to understand how to
use scripts when you're building Amazon Glue jobs.
Create Amazon Glue jobs with notebooks
Author interactive jobs in a notebook interface based on Jupyter notebooks in Amazon Glue Studio.
Develop Amazon Glue jobs locally with interactive sessions
Programmatically build and test scripts for data preparation using interactive sessions.
Automate and monitor data integration pipelines
Automate with event-based triggers
Start crawlers or Amazon Glue jobs with event-based triggers. You can also design a chain of dependent jobs and crawlers.
Run and monitor your jobs
Run your Amazon Glue jobs, and then monitor them with automated monitoring tools, the Apache Spark UI,
Amazon Glue job run insights, and Amazon CloudTrail.
Automate with workflows
Define workflows for ETL and integration activities for multiple crawlers, jobs, and triggers.