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AWS SageMaker Feature Store
URI:
https://gptkb.org/entity/AWS_SageMaker_Feature_Store
GPTKB entity
Statements (48)
Predicate
Object
gptkbp:instanceOf
gptkb:cloud_service
feature store
gptkbp:access
gptkb:REST_API
gptkb:AWS_CLI
gptkb:SageMaker_Studio
SDKs
gptkbp:API
gptkb:Python_SDK
gptkb:Boto3
gptkb:SageMaker_API
gptkbp:billingModel
pay-as-you-go
gptkbp:category
cloud computing
online learning platform
machine learning infrastructure
gptkbp:competitor
gptkb:saint
gptkb:Azure_Machine_Learning_Feature_Store
gptkb:Databricks_Feature_Store
gptkb:Google_Vertex_AI_Feature_Store
gptkbp:developedBy
gptkb:Amazon_Web_Services
gptkbp:documentation
https://docs.aws.amazon.com/sagemaker/latest/dg/feature-store.html
gptkbp:features
encryption in transit
encryption at rest
IAM integration
https://www.w3.org/2000/01/rdf-schema#label
AWS SageMaker Feature Store
gptkbp:integratesWith
gptkb:AWS_Glue
gptkb:Amazon_S3
gptkb:SageMaker_Pipelines
gptkb:Amazon_Redshift
gptkb:Amazon_Athena
gptkb:Amazon_SageMaker_Studio
gptkbp:launchDate
2020
gptkbp:partOf
gptkb:Amazon_SageMaker
gptkbp:provides
audit trails
data lineage
data consistency
low-latency access
gptkbp:regionAvailability
multiple AWS regions
gptkbp:supports
gptkb:market
feature discovery
feature sharing
feature versioning
offline store
batch feature ingestion
real-time feature ingestion
gptkbp:usedFor
gptkb:machine_learning
data management
feature engineering
gptkbp:bfsParent
gptkb:Feature_Store
gptkbp:bfsLayer
7