Google Vertex AI Feature Store
GPTKB entity
Statements (50)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
feature store
|
| gptkbp:cloudBased |
gptkb:Google_Cloud_Platform
|
| gptkbp:developedBy |
gptkb:Google
|
| gptkbp:documentation |
https://cloud.google.com/vertex-ai/docs/featurestore
|
| https://www.w3.org/2000/01/rdf-schema#label |
Google Vertex AI Feature Store
|
| gptkbp:integratesWith |
gptkb:TensorFlow
gptkb:Dataflow gptkb:Dataproc gptkb:Vertex_AI_Pipelines gptkb:Vertex_AI_Prediction gptkb:Vertex_AI_Training gptkb:BigQuery gptkb:PyTorch |
| gptkbp:partOf |
gptkb:Google_Vertex_AI
|
| gptkbp:provides |
access control
data encryption audit logging feature monitoring feature ingestion API feature retrieval API high-throughput batch serving low-latency online serving |
| gptkbp:purpose |
manage machine learning features
serve machine learning features share machine learning features store machine learning features |
| gptkbp:regionAvailability |
multiple Google Cloud regions
|
| gptkbp:releaseDate |
2021
|
| gptkbp:supports |
gptkb:transformation
role-based access control data validation IAM integration data retention policies schema management batch feature serving feature discovery feature versioning real-time feature serving entity types feature lineage tracking time travel queries feature drift detection feature sets feature statistics feature value export feature value import point-in-time feature retrieval |
| gptkbp:bfsParent |
gptkb:Feature_Store
gptkb:Amazon_SageMaker_Feature_Store |
| gptkbp:bfsLayer |
7
|