Glue DataBrew Project

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An AWS Glue DataBrew Project is a workspace that lets you organize and manage data preparation tasks. It ties together datasets, transformation recipes, and job runs, allowing you to visually clean and normalize data without writing code. Projects provide an interactive environment where you can apply, test, and refine transformations before running them at scale.

aws.databrew_project

Fields

ID	Type	Data Type	Description
_key	core	string
account_id	core	string	The ID of the Amazon Web Services account that owns the project.
create_date	core	timestamp	The date and time that the project was created.
created_by	core	string	The Amazon Resource Name (ARN) of the user who crated the project.
dataset_name	core	string	The dataset that the project is to act upon.
last_modified_by	core	string	The Amazon Resource Name (ARN) of the user who last modified the project.
last_modified_date	core	timestamp	The last modification date and time for the project.
name	core	string	The unique name of a project.
open_date	core	timestamp	The date and time when the project was opened.
opened_by	core	string	The Amazon Resource Name (ARN) of the user that opened the project for use.
recipe_name	core	string	The name of a recipe that will be developed during a project session.
resource_arn	core	string	The Amazon Resource Name (ARN) for the project.
role_arn	core	string	The Amazon Resource Name (ARN) of the role that will be assumed for this project.
sample	core	json	The sample size and sampling type to apply to the data. If this parameter isn't specified, then the sample consists of the first 500 rows from the dataset.
tags	core	hstore