Amazon SageMaker Pipelines

GPTKB entity

Predicate	Object
gptkbp:instanceOf	gptkb:machine_learning_workflow_service
gptkbp:API	gptkb:SageMaker_Python_SDK
gptkbp:cloudBased	gptkb:AWS
gptkbp:developedBy	gptkb:Amazon
gptkbp:documentation	https://docs.aws.amazon.com/sagemaker/latest/dg/pipelines.html
gptkbp:enables	end-to-end ML workflow automation
gptkbp:feature	gptkb:parameterization conditional execution integration with CI/CD visual interface pipeline execution history step caching pipeline steps
gptkbp:integratesWith	gptkb:AWS_Step_Functions gptkb:Amazon_S3 gptkb:AWS_Lambda gptkb:Amazon_CloudWatch gptkb:Amazon_SageMaker_Studio
gptkbp:launchDate	2020
gptkbp:partOf	gptkb:Amazon_SageMaker
gptkbp:programmingLanguage	gptkb:Python
gptkbp:supports	data preprocessing model deployment model evaluation model monitoring machine learning model training model registration
gptkbp:uses	gptkb:MLOps collaborative ML development automated ML workflows reproducible ML pipelines
gptkbp:bfsParent	gptkb:SageMaker_Studio
gptkbp:bfsLayer	7
https://www.w3.org/2000/01/rdf-schema#label	Amazon SageMaker Pipelines