feature view

Related topics

• feature view is part of online store From the official documentation: “The name of the online store containing the feature view.”
• BigQuery works with feature view From the official documentation: “A BigQuery table or view directly associated with the feature view.”
• feature view is part of Agent Platform Feature Store From the official documentation: “Learn how to use a dedicated service agent for a feature view in Agent Platform Feature Store.”
• feature view depends on BigQuery From the official documentation: “A feature view is a logical collection of features materialized from a BigQuery data source to an online store instance.”
• feature view works with online store From the official documentation: “To connect the BigQuery table, which stores the feature data source, to the `FeatureOnlineStore` instance, call the `CreateFeatureView` API to create a `FeatureView` resource.”
• BigQuery works with Knowledge Catalog From the official documentation: “Some Knowledge Catalog functionalities trigger job execution using BigQuery.”
• Agent Platform Feature Store works with BigQuery From the official documentation: “In this tutorial, you learn how to use Bigtable online serving in Vertex AI Feature Store for online serving and fetching of feature values in BigQuery.”
• BigQuery works with Vertex AI Feature Store From the official documentation: “In the new Vertex AI Feature Store, BigQuery serves as the offline store.”
• BigQuery works with Gemini Enterprise Agent Platform From the official documentation: “The BigQuery dataset stores all versions for the associated Gemini Enterprise Agent Platform dataset.”
• Agent Platform Feature Store is part of Gemini Enterprise Agent Platform From the official documentation: “In the Agent Platform section of the Google Cloud console, go to the **Feature Store** page.”
• Agent Platform Feature Store works with Knowledge Catalog From the official documentation: “Vertex AI Feature Store is integrated with Knowledge Catalog to track feature metadata.”
• BigQuery works with Bigtable online serving From the official documentation: “If you want to use continuous data sync to sync data from the BigQuery data source to your feature views in near real-time, use Bigtable online serving.”
• Bigtable online serving is part of Agent Platform Feature Store From the official documentation: “In this tutorial, you learn how to use Bigtable online serving in Vertex AI Feature Store for online serving and fetching of feature values in BigQuery.”
• Bigtable online serving is part of Vertex AI Feature Store From the official documentation: “In this tutorial, you learn how to use Bigtable online serving in Vertex AI Feature Store for online serving and fetching of feature values in BigQuery.”
• Gemini Enterprise Agent Platform works with Knowledge Catalog From the official documentation: “Knowledge Catalog provides a way to search for your Agent Platform models across projects and regions.”
• Knowledge Catalog works with Vertex AI Feature Store From the official documentation: “Knowledge Catalog is also integrated with Vertex AI Feature Store, offering similar capabilities.”
• online store is part of Agent Platform Feature Store From the official documentation: “In a typical workflow of a Feature Store setup, you first prepare your SAP data source in BigQuery, register your data sources by creating feature groups and features, and set up online store and feature view resources.”
• online store is part of Vertex AI Feature Store From the official documentation: “To enable online serving of features, use the Vertex AI Feature Store `CreateFeatureOnlineStore` API to set up a `FeatureOnlineStore` instance.”