This template creates a Glue table and a Kinesis Firehose delivery stream. The Glue table is used to store data with specific columns and partition keys, while the Kinesis Firehose delivery stream is used to deliver data to an S3 bucket in a specific format.

This template creates an on-demand trigger that triggers one job.

This template creates a scheduled trigger that runs every two hours and triggers two jobs. It declares an argument for prod-job3.

This template creates a conditional trigger that starts a job based on the successful completion of the job run.

This CloudFormation template creates an AWS Glue Crawler that crawls an S3 bucket and updates a database with the crawled data. It also creates the necessary IAM roles and policies for the crawler to function properly.

This template creates an AWS Glue job with an associated role. The job is configured with a command to run a Glue ETL script located in an Amazon S3 bucket.

This template creates a new schedule for one or more AWS Glue DataBrew jobs. The schedule can be set to run at a specific date and time or at regular intervals.

This template creates a new AWS Glue DataBrew transformation recipe with the specified name, description, steps, condition expressions, and tags.

This template creates a new AWS Glue DataBrew project with the specified properties. The project will have a name, recipe name, dataset name, role ARN, and a sample size and type. It also includes tags for additional metadata.

This template creates a DataBrew profile job with the specified properties. The job is of type PROFILE and has a name, dataset name, role ARN, job sample mode, output location, and tags.

This template creates a new DataBrew dataset with the specified properties. The dataset is created with a name, input location in an S3 bucket, format options, and optional tags.