Glue DataBrew Recipe

AWS Glue DataBrew Recipe is a set of data transformation steps that define how raw data should be cleaned, normalized, or enriched. Recipes allow users to apply reusable, no-code transformations to datasets, making it easier to prepare data for analytics and machine learning.

aws.databrew_recipe

Fields

TitleIDTypeData TypeDescription
_keycorestring
account_idcorestring
create_datecoretimestampThe date and time that the recipe was created.
created_bycorestringThe Amazon Resource Name (ARN) of the user who created the recipe.
descriptioncorestringThe description of the recipe.
last_modified_bycorestringThe Amazon Resource Name (ARN) of the user who last modified the recipe.
last_modified_datecoretimestampThe last modification date and time of the recipe.
namecorestringThe unique name for the recipe.
project_namecorestringThe name of the project that the recipe is associated with.
published_bycorestringThe Amazon Resource Name (ARN) of the user who published the recipe.
published_datecoretimestampThe date and time when the recipe was published.
recipe_versioncorestringThe identifier for the version for the recipe. Must be one of the following: Numeric version (X.Y) - X and Y stand for major and minor version numbers. The maximum length of each is 6 digits, and neither can be negative values. Both X and Y are required, and "0.0" isn't a valid version. LATEST_WORKING - the most recent valid version being developed in a DataBrew project. LATEST_PUBLISHED - the most recent published version.
resource_arncorestringThe Amazon Resource Name (ARN) for the recipe.
stepscorejsonA list of steps that are defined by the recipe.
tagscorehstore