Statements (50)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
feature store
|
| gptkbp:API |
gptkb:Python_SDK
gptkb:Boto3 gptkb:SageMaker_API |
| gptkbp:billingModel |
pay-as-you-go
|
| gptkbp:cloudBased |
gptkb:AWS
|
| gptkbp:developedBy |
gptkb:Amazon
|
| gptkbp:documentation |
https://docs.aws.amazon.com/sagemaker/latest/dg/feature-store.html
|
| gptkbp:enables |
feature engineering
feature reuse feature sharing |
| gptkbp:features |
encryption in transit
encryption at rest IAM integration |
| gptkbp:format |
gptkb:JSON
CSV Parquet |
| https://www.w3.org/2000/01/rdf-schema#label |
SageMaker Feature Store
|
| gptkbp:integratesWith |
gptkb:SageMaker_Pipelines
gptkb:SageMaker_Studio gptkb:SageMaker_Inference gptkb:SageMaker_Training |
| gptkbp:launched |
2020
|
| gptkbp:numberOfLocations |
features
|
| gptkbp:partOf |
gptkb:Amazon_SageMaker
|
| gptkbp:provides |
data versioning
data consistency feature lineage tracking |
| gptkbp:regionAvailability |
multiple AWS regions
|
| gptkbp:supports |
gptkb:machine_learning
gptkb:market data validation audit logging data ingestion data cataloging schema enforcement data retrieval feature transformation batch feature serving feature discovery feature monitoring real-time feature serving offline store time travel queries |
| gptkbp:uses |
feature management
ML model inference ML model training |
| gptkbp:bfsParent |
gptkb:AWS_SageMaker
gptkb:SageMaker |
| gptkbp:bfsLayer |
6
|