Vertex AI Feature Store

About Vertex AI Feature Store

• Introduction to Vertex AI Feature Store

  Provides an overview of Vertex AI Feature Store.

• Data model and resources

  Learn about the Vertex AI Feature Store data model and its resources.

• Source data requirements

  Learn about Vertex AI Feature Store requirements for ingesting source data.

• Setup

  Set up your project and permissions to work with Vertex AI Feature Store.

• Best practices

  View guidance on how to use Vertex AI Feature Store in certain situations.

Use Vertex AI Feature Store

• Manage featurestores

  Create, list, describe, update, and delete featurestores.

• Manage entity types

  Create, list, and delete entity types.

• Manage and find features

  Create, list, search, describe, and delete features.

• Batch ingest feature values

  Import source data into a featurestore.

• Streaming ingestion

  Make real-time updates to feature values.

• Online serving

  Serve the latest feature values for online predictions.

• Batch serving

  Bulk serve feature values for training ML models or batch predictions.

• Export feature values

  Export feature values for entities of a single entity type for archiving or ad hoc analysis.

• Delete feature values

  Delete feature values from an entity type.

• Monitoring

  Monitor featurestores and feature values.