AWS glue documentation change
Summary
Added new documentation page for AWS Glue covering service introduction, data catalog usage, ETL job creation, automation features, and user guides.
Security assessment
No security-related content exists in the added documentation. The change focuses on general functionality like data discovery, ETL jobs, and monitoring without security features, vulnerabilities, or compliance mentions.
Diff
diff --git a/glue/index.md b/glue/index.md index 8b1378917..38188ef4c 100644 --- a//glue/index.md +++ b//glue/index.md @@ -0,0 +1,32 @@ +# 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. + +### [What is AWS Glue? Learn about AWS Glue features, how to get started, and how to access AWS Glue. ](/glue/latest/dg/what-is-glue.html) ### [What is the AWS Glue Data Catalog? Learn about the AWS Glue Data Catalog, which is your persistent metadata store. ](/glue/latest/dg/components-overview.html#data-catalog-intro) + +## Discover and organize data + +### [Get started with the AWS Glue Data Catalog Use this tutorial to create your first AWS Glue Data Catalog, which uses an Amazon S3 bucket as your data source. ](/glue/latest/dg/start-data-catalog.html) ### [Populate your Data Catalog with crawlers Populate the AWS Glue Data Catalog with metadata tables from data stores that you define. ](/glue/latest/dg/add-crawler.html) ### [Add connections to your Data Catalog Use AWS Glue connections to access certain types of data stores. ](/glue/latest/dg/populate-add-connection.html) + +## Author and run data integration jobs + +### [Create AWS Glue jobs visually with AWS Glue Studio Create jobs through AWS Glue Studio, a graphical interface that makes it easy to create, run, and monitor integration jobs. ](/glue/latest/dg/AuthorJob_AddJob_general.html) ### [Write an AWS Glue ETL script 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. ](/glue/latest/dg/aws-glue-programming-intro-tutorial.html) ### [Create AWS Glue jobs with notebooks Author interactive jobs in a notebook interface based on Jupyter notebooks in AWS Glue Studio. ](/glue/latest/dg/notebook-getting-started.html) ### [Develop AWS Glue jobs locally with interactive sessions Programmatically build and test scripts for data preparation using interactive sessions. ](/glue/latest/dg/interactive-sessions.html) + +## Automate and monitor data integration pipelines + +### [Automate with event-based triggers Start crawlers or AWS Glue jobs with event-based triggers. You can also design a chain of dependent jobs and crawlers. ](/glue/latest/dg/trigger-job.html) ### [Run and monitor your jobs 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. ](/glue/latest/dg/monitor-glue.html) ### [Automate with workflows Define workflows for ETL and integration activities for multiple crawlers, jobs, and triggers. ](/glue/latest/dg/workflows_overview.html) + +## User guides + +### [AWS Glue Developer Guide Provides a conceptual overview of AWS Glue, detailed instructions for using the various features, and a complete API reference for developers. ](/glue/latest/dg/what-is-glue.html) ### [AWS Glue section of the AWS CLI Reference Describes the AWS CLI commands that you can use with AWS Glue. ](/cli/latest/reference/glue/index.html) ### [AWS Glue DataBrew Developer Guide 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. ](/databrew/latest/dg/welcome.html) + +## Related Links + + * [AWS Glossary](http://docs.aws.amazon.com/general/latest/gr/glos-chap.html) + * [Getting Started with AWS](https://aws.amazon.com/documentation/gettingstarted/) + * [SDKs & Tools](https://aws.amazon.com/tools/) + * [AWS General Reference](http://docs.aws.amazon.com/general/latest/gr/Welcome.html) + * [AWS Training](https://aws.amazon.com/training/) + * [AWS Case Studies](https://aws.amazon.com/solutions/case-studies/) + * [AWS Whitepapers](https://aws.amazon.com/whitepapers/) +