About Vertex AI Feature Store
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Introduction to Vertex AI Feature Store
Provides an overview of Vertex AI Feature Store.
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Data model and resources
Learn about the Vertex AI Feature Store data model and its resources.
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Source data requirements
Learn about Vertex AI Feature Store requirements for ingesting source data.
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Setup
Set up your project and permissions to work with Vertex AI Feature Store.
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Best practices
View guidance on how to use Vertex AI Feature Store in certain situations.
Use Vertex AI Feature Store
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Manage featurestores
Create, list, describe, update, and delete featurestores.
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Manage entity types
Create, list, and delete entity types.
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Manage and find features
Create, list, search, describe, and delete features.
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Batch ingest feature values
Import source data into a featurestore.
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Streaming ingestion
Make real-time updates to feature values.
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Online serving
Serve the latest feature values for online predictions.
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Batch serving
Bulk serve feature values for training ML models or batch predictions.
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Export feature values
Export feature values for entities of a single entity type for archiving or ad hoc analysis.
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Delete feature values
Delete feature values from an entity type.
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Monitoring
Monitor featurestores and feature values.