Agent Platform Feature Store

Related topics

• Agent Platform Feature Store works with BigQuery From the official documentation: “Agent Platform Feature Store offers a new approach to feature management by letting you maintain and serve your feature data from a BigQuery data source.”
• 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 is an alternative to Cloud Storage From the official documentation: “The `import_result_sink` must be a Cloud Storage path or a BigQuery table.”
• BigQuery works with Cloud Storage From the official documentation: “Sample to load Avro data from Cloud Storage into a new BigQuery table”
• BigQuery works with Cloud Logging From the official documentation: “BigQuery utilizes Cloud Logging for some of your log data.”
• VPC Service Controls secures BigQuery From the official documentation: “BigQuery data is protected with VPC Service Controls”
• BigQuery works with Knowledge Catalog From the official documentation: “Some Knowledge Catalog functionalities trigger job execution using BigQuery.”
• BigQuery works with Spanner From the official documentation: “Federated analytics seamlessly combine data from Spanner and other sources in BigQuery.”
• 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.”
• Cloud Audit Logs works with Cloud Storage From the official documentation: “This page provides supplemental information for using [Cloud Audit Logs](/logging/docs/audit) with Cloud Storage.”
• Cloud Audit Logs works with VPC Service Controls From the official documentation: “VPC Service Controls integrate with Cloud Audit Logs to monitor access to the control plane.”
• Cloud Logging works with Cloud Storage From the official documentation: “Cloud Storage writes various log entries to Cloud Logging in the Google Cloud console.”
• VPC Service Controls secures Gemini Enterprise Agent Platform From the official documentation: “[VPC Service Controls](/vpc-service-controls/docs/overview) can help you mitigate the risk of data exfiltration from Gemini Enterprise Agent Platform.”
• BigQuery works with Cloud Audit Logs From the official documentation: “Cloud Audit Logs maintain a record of Google Cloud events, including BigQuery events.”
• Cloud Logging works with Gemini Enterprise Agent Platform From the official documentation: “When you run a training job, Gemini Enterprise Agent Platform training saves logs to [Logging](/logging/docs).”
• Cloud Storage works with Gemini Enterprise Agent Platform From the official documentation: “When you perform custom training, Agent Platform usually loads your data from Cloud Storage.”
• Identity and Access Management secures Cloud Storage From the official documentation: “Cloud Storage uses Identity and Access Management (IAM) for authorization.”
• Identity and Access Management secures Spanner From the official documentation: “Identity and Access Management (IAM) lets you control user and group access to Spanner resources at the project, Spanner instance, and Spanner database levels.”
• VPC Service Controls secures Cloud Storage From the official documentation: “Storage Transfer Service supports transfers to Cloud Storage buckets protected by VPC Service Controls.”
• BigQuery depends on Cloud Logging From the official documentation: “BigQuery utilizes Cloud Logging for some of your log data.”
• BigQuery works with Identity and Access Management From the official documentation: “BigQuery uses Identity and Access Management (IAM) for authorization.”
• Cloud Logging is an alternative to Cloud Storage From the official documentation: “Instead, they are routed to either Cloud Storage (recommended) or Cloud Logging, depending on your organization's configuration.”
• Cloud Logging works with Knowledge Catalog From the official documentation: “Knowledge Catalog sends logs for service operations and job executions to Cloud Logging.”
• Cloud Storage works with Knowledge Catalog From the official documentation: “Knowledge Catalog is an intelligent governance solution for data and AI assets in Google Cloud. It provides a centralized inventory where you can discover, manage, and govern your data across Google Cloud data sources like BigQuery, Cloud Storage, Pub/Sub, and Spanner.”
• 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.”
• Identity and Access Management works with VPC Service Controls From the official documentation: “VPC Service Controls perimeters and Identity and Access Management (IAM) roles work together.”
• BigQuery depends on Cloud Storage From the official documentation: “BigQuery relies on Cloud Storage for staging file data and supports reading from and writing to several other sources and Google Cloud services.”
• BigQuery works with VPC Service Controls From the official documentation: “BigQuery integrates with VPC Service Controls to restrict access to your BigQuery resources from specific networks.”
• Cloud Audit Logs secures BigQuery From the official documentation: “For BigQuery, [Cloud Audit Logs](/logging/docs/audit) is used for both data access logs and audit logs, which are enabled by default.”
• Cloud Audit Logs works with Cloud Logging From the official documentation: “- For real-time analysis, alerting, and visualization, stream the audit logs to [Logging](/logging/docs/overview).”
• Cloud Audit Logs secures Gemini Enterprise Agent Platform From the official documentation: “You can use Cloud Audit Logs to track changes to Identity and Access Management policies for your Agent Platform resources.”
• Cloud Audit Logs works with Knowledge Catalog From the official documentation: “Cloud Audit Logs for Knowledge Catalog let you track administrative and data-access operations on your resources to help you monitor access and configuration changes.”
• Cloud Logging works with Spanner From the official documentation: “Both Spanner and Agent Platform provide monitoring dashboards and write logs to Cloud Logging, which can contain additional details.”
• Cloud Logging works with VPC Service Controls From the official documentation: “This page describes how you can find VPC Service Controls errors using Cloud Logging.”
• Cloud Storage works with Identity and Access Management From the official documentation: “To learn how to use IAM with Cloud Storage, see [Using IAM Permissions](/storage/docs/access-control/using-iam-permissions).”
• Cloud Storage works with Spanner From the official documentation: “Move Spanner databases to and from Avro or CSV files stored in Cloud Storage.”
• Gemini Enterprise Agent Platform depends on Cloud Storage From the official documentation: “Certain tasks in Agent Platform require that you use additional Google Cloud products besides Agent Platform. For example, in most cases, you must use Cloud Storage and Artifact Registry when you create a custom training pipeline.”
• Gemini Enterprise Agent Platform depends on Identity and Access Management From the official documentation: “Agent Platform uses IAM to manage access to resources.”
• Gemini Enterprise Agent Platform works with Identity and Access Management From the official documentation: “Learn more about [Gemini Enterprise Agent Platform access control with IAM](/gemini-enterprise-agent-platform/machine-learning/general/access-control).”
• Gemini Enterprise Agent Platform works with Spanner From the official documentation: “MODEL DDL statements and ML functions in Spanner invoke Gemini Enterprise Agent Platform endpoints and can fail due to various reasons:”
• Identity and Access Management secures BigQuery From the official documentation: “Security in BigQuery is intrinsically linked to [Identity and Access Management (IAM)](/iam/docs/overview) in Google Cloud.”
• Identity and Access Management secures Cloud Audit Logs From the official documentation: “IAM permissions and roles determine your ability to access audit logs data in the [Logging API](/logging/docs/reference/v2/rest), the [Logs Explorer](/logging/docs/view/logs-explorer-interface), and the [Google Cloud CLI](/logging/docs/reference/tools/gcloud-logging).”
• Identity and Access Management secures Gemini Enterprise Agent Platform From the official documentation: “Agent Platform uses Identity and Access Management (IAM) for authorization.”
• Knowledge Catalog depends on Identity and Access Management From the official documentation: “Knowledge Catalog uses Identity and Access Management (IAM) for authorization.”
• Knowledge Catalog works with Spanner From the official documentation: “Knowledge Catalog is an intelligent governance solution for data and AI assets in Google Cloud. It provides a centralized inventory where you can discover, manage, and govern your data across Google Cloud data sources like BigQuery, Cloud Storage, Pub/Sub, and Spanner.”
• Knowledge Catalog works with VPC Service Controls From the official documentation: “The integration between Looker (Google Cloud core) and Knowledge Catalog supports VPC Service Controls.”
• VPC Service Controls secures Knowledge Catalog From the official documentation: “It explains how to use VPC Service Controls to create service perimeters that protect your Knowledge Catalog resources and mitigate data exfiltration risks.”