Vertex AI Feature Store

Related topics

• BigQuery works with Vertex AI Feature Store From the official documentation: “In the new Vertex AI Feature Store, BigQuery serves as the offline store.”
• IAM policy secures Vertex AI Feature Store From the official documentation: “In this tutorial, you learn how to configure an IAM policy to control access to resources and data stored within Vertex AI Feature Store.”
• 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.”
• Vertex AI Feature Store is part of Gemini Enterprise Agent Platform From the official documentation: “By managing models within Gemini Enterprise Agent Platform, you get access to all of the Gemini Enterprise Agent Platform MLOps capabilities, and also to features such as [Vertex AI Feature Store](/gemini-enterprise-agent-platform/machine-learning/featurestore/latest/overview).”
• 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”
• Application Default Credentials secures BigQuery From the official documentation: “To authenticate to BigQuery, set up Application Default Credentials.”
• BigQuery works with Cloud Logging From the official documentation: “BigQuery utilizes Cloud Logging for some of your log data.”
• Application Default Credentials works with Cloud Storage From the official documentation: “To authenticate to Cloud Storage, set up Application Default Credentials.”
• Application Default Credentials works with BigQuery From the official documentation: “Create a BigQuery client using application default credentials.”
• VPC Service Controls secures BigQuery From the official documentation: “BigQuery data is protected with VPC Service Controls”
• Application Default Credentials secures Cloud Storage From the official documentation: “To authenticate to Cloud Storage, set up Application Default Credentials.”
• BigQuery depends on Application Default Credentials From the official documentation: “To authenticate to BigQuery, set up Application Default Credentials.”
• BigQuery works with Knowledge Catalog From the official documentation: “Some Knowledge Catalog functionalities trigger job execution using 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.”
• Application Default Credentials configures BigQuery From the official documentation: “To authenticate to BigQuery, set up Application Default Credentials.”
• Application Default Credentials works with Gemini Enterprise Agent Platform From the official documentation: “To authenticate to Agent Platform, set up Application Default Credentials.”
• Application Default Credentials secures Knowledge Catalog From the official documentation: “To authenticate to Knowledge Catalog, set up Application Default Credentials.”
• 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 depends on Application Default Credentials From the official documentation: “To authenticate to Cloud Storage, set up Application Default Credentials.”
• 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.”
• VPC Service Controls secures Cloud Storage From the official documentation: “Storage Transfer Service supports transfers to Cloud Storage buckets protected by VPC Service Controls.”
• Application Default Credentials configures Cloud Storage From the official documentation: “To authenticate to Cloud Storage, set up Application Default Credentials. For more information, see [Set up authentication for client libraries](/storage/docs/authentication#client-libs).”
• Application Default Credentials secures Gemini Enterprise Agent Platform From the official documentation: “To authenticate to Agent Platform, set up Application Default Credentials.”
• Application Default Credentials works with Identity and Access Management From the official documentation: “To authenticate to IAM, set up Application Default Credentials.”
• Application Default Credentials configures Knowledge Catalog From the official documentation: “To authenticate to Knowledge Catalog, set up Application Default Credentials.”
• 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 depends on Application Default Credentials From the official documentation: “To authenticate to Logging, set up Application Default Credentials.”
• 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.”
• Application Default Credentials works with Cloud Logging From the official documentation: “To authenticate to Logging, set up Application Default Credentials.”
• Application Default Credentials works with Knowledge Catalog From the official documentation: “To authenticate to Knowledge Catalog, set up Application Default Credentials.”
• 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 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).”
• Gemini Enterprise Agent Platform configures Application Default Credentials From the official documentation: “Agent Platform automatically configures ADC to authenticate as either the [Gemini Enterprise Agent Platform Custom Code Service Agent](/gemini-enterprise-agent-platform/machine-learning/general/access-control#service-agents) for your project (by default) or a [custom service…”
• 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).”
• IAM policy configures Cloud Storage From the official documentation: “Access to new buckets is managed using IAM policies instead of<br>[Cloud Storage Access control lists (ACLs)](/storage/docs/access-control/lists).”
• IAM policy is part of Identity and Access Management From the official documentation: “IAM lets you control **who (users)** has **what access (roles)** to **which resources** by setting IAM policies.”
• Identity and Access Management depends on Application Default Credentials From the official documentation: “To authenticate to IAM, set up Application Default Credentials.”
• 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.”