AWS Glue Documentation
AWS Glue is a scalable, serverless data integration service that makes it easy to discover,
prepare, and combine data for analytics, machine learning, and application development.
- Learn about AWS Glue features, how to get started, and how to access AWS Glue.
- Learn about the AWS Glue Data Catalog, which is your persistent metadata store.
Discover and organize data
- Use this tutorial to create your first AWS Glue Data Catalog, which uses an Amazon S3 bucket as your data source.
- Populate the AWS Glue Data Catalog with metadata tables from data stores that you define.
- Use AWS Glue connections to access certain types of data stores.
Author and run data integration jobs
- Create jobs through AWS Glue Studio, a graphical interface that makes it easy to create, run, and monitor integration jobs.
- Write an AWS Glue extract, transform, and load (ETL) script through this tutorial to understand how to use scripts when you're building AWS Glue jobs.
- Author interactive jobs in a notebook interface based on Jupyter notebooks in AWS Glue Studio.
- Programmatically build and test scripts for data preparation using interactive sessions.
Automate and monitor data integration pipelines
- Start crawlers or AWS Glue jobs with event-based triggers. You can also design a chain of dependent jobs and crawlers.
- Run your AWS Glue jobs, and then monitor them with automated monitoring tools, the Apache Spark UI, AWS Glue job run insights, and AWS CloudTrail.
- Define workflows for ETL and integration activities for multiple crawlers, jobs, and triggers.
User guides
- Describes how to use the AWS Glue Studio console and the visual job editor interface to build and monitor ETL jobs.
- Provides a conceptual overview of AWS Glue, detailed instructions for using the various features, and a complete API reference for developers.
- Describes the AWS CLI commands that you can use with AWS Glue.
- Describes how to prepare data visually with ready-made data transformations for analytics and machine learning. Also provides an API reference complete with instructions, syntax, and examples.
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