BigQuery sharing

Related topics

• BigQuery sharing works with Google Cloud Marketplace From the official documentation: “You can discover Cloud Marketplace-integrated commercial listings on both BigQuery sharing and Cloud Marketplace.”
• BigQuery sharing is part of BigQuery From the official documentation: “BigQuery sharing, as part of BigQuery, complies with the following compliance programs:”
• BigQuery sharing works with data clean rooms From the official documentation: “BigQuery data clean rooms integrate with the BigQuery sharing (formerly Analytics Hub) platform.”
• BigQuery sharing works with data product From the official documentation: “Data products in Google Cloud Marketplace provide data for your customers to use in BigQuery sharing (formerly Analytics Hub).”
• BigQuery sharing works with Pub/Sub From the official documentation: “Pub/Sub topic publishers incur no additional charge to list and share topics through BigQuery sharing.”
• BigQuery sharing works with VPC Service Controls From the official documentation: “Learn about [configuring VPC Service Controls for BigQuery sharing](/bigquery/docs/analytics-hub-vpc-sc-rules).”
• listing is part of BigQuery sharing From the official documentation: “This document describes how to monitor listings in BigQuery sharing (formerly Analytics Hub).”
• BigQuery works with Sensitive Data Protection From the official documentation: “Uses the Data Loss Prevention API to analyze BigQuery data.”
• 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 Logging From the official documentation: “BigQuery utilizes Cloud Logging for some of your log data.”
• BigQuery works with Cloud Storage From the official documentation: “External BigQuery data source backed by Cloud Storage”
• 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 Cloud Monitoring From the official documentation: “You can use Monitoring to export your metrics to BigQuery.”
• Pub/Sub works with Sensitive Data Protection From the official documentation: “Watch the Pub/Sub topic until the DLP job finishes”
• BigQuery is an alternative to Pub/Sub From the official documentation: “To keep audit logs for a longer period of time or to use more powerful search capabilities, you can route copies of your audit logs to Cloud Storage, BigQuery, or Pub/Sub.”
• Cloud Logging works with GKE From the official documentation: “Enable Cloud Logging on GKE Clusters”
• Cloud Monitoring works with GKE From the official documentation: “Enable Cloud Monitoring on GKE Clusters”
• Cloud Storage works with Sensitive Data Protection From the official documentation: “Uses the Data Loss Prevention API to analyze a file on GCS.”
• BigQuery works with Pub/Sub From the official documentation: “createBigQuerySubscription creates a Pub/Sub subscription that exports messages to BigQuery.”
• Cloud Storage works with Pub/Sub From the official documentation: “| **Google Cloud** | Cloud Storage | Pub/Sub |”
• Cloud Storage is an alternative to Pub/Sub From the official documentation: “To keep audit logs for a longer period of time or to use more powerful search capabilities, you can route copies of your audit logs to Cloud Storage, BigQuery, or Pub/Sub.”
• VPC Service Controls secures Cloud Storage From the official documentation: “Storage Transfer Service supports transfers to Cloud Storage buckets protected by VPC Service Controls.”
• Cloud Logging works with Cloud Storage From the official documentation: “Cloud Storage writes various log entries to Cloud Logging in the Google Cloud console.”
• Cloud Logging works with Pub/Sub From the official documentation: “Pub/Sub writes various log entries to Cloud Logging in the Google Cloud console.”
• BigQuery depends on Cloud Logging From the official documentation: “BigQuery utilizes Cloud Logging for some of your log data.”
• Cloud Monitoring works with Pub/Sub From the official documentation: “Use Cloud Monitoring and Pub/Sub to set up custom monitoring and alerting policies for exported logs.”
• GKE works with Pub/Sub From the official documentation: “Route Cloud Pub/Sub events to GKE”
• Cloud Logging works with Cloud Monitoring From the official documentation: “If a log entry matches the filter of the alerting policy, then Cloud Logging extracts labels and forwards the data to Cloud Monitoring.”
• data product is part of Knowledge Catalog From the official documentation: “This document describes the architecture and key concepts of data products in Knowledge Catalog (formerly Dataplex Universal Catalog).”
• Knowledge Catalog works with Sensitive Data Protection From the official documentation: “Send the results of a [BigQuery inspection job](/sensitive-data-protection/docs/inspecting-storage#inspect_a_table) to Knowledge Catalog.”
• Sensitive Data Protection works with VPC Service Controls From the official documentation: “For information about VPC Service Controls support for Sensitive Data Protection, see the [Supported products](/vpc-service-controls/docs/supported-products#table_dlp) table in the VPC Service Controls documentation.”
• VPC Service Controls secures Knowledge Catalog From the official documentation: “The API for Knowledge Catalog can be protected by VPC Service Controls and the product can be used normally inside service perimeters.”
• 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 data product From the official documentation: “After the data product owner grants you permission, you can access the data product and its assets. For example, if you're granted permissions to access a BigQuery table, you can query it directly in BigQuery to generate insights.”
• BigQuery works with GKE From the official documentation: “Subsequently, by integrating BigQuery with GKE, you can use BigQuery to efficiently handle massive datasets (like Google Analytics) and the model's natural language understanding capabilities to generate meaningful insights.”
• 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 Logging is an alternative to Cloud Monitoring From the official documentation: “To see the status of your invalidation request or find a definitive list of recently submitted requests, you can use Cloud Logging or Cloud Monitoring.”
• Cloud Logging is an alternative to Cloud Storage From the official documentation: “When you specify your own service account for builds, you must store your build logs either in Cloud Logging or in a user-created Cloud Storage bucket.”
• Cloud Logging works with Knowledge Catalog From the official documentation: “Knowledge Catalog sends logs for service operations and job executions to Cloud Logging.”
• 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 Monitoring works with Google Cloud Marketplace From the official documentation: “Some virtual machine (VM) products from Cloud Marketplace might include Cloud Monitoring, which collects metrics, events, and metadata from your deployment.”
• Cloud Monitoring works with Knowledge Catalog From the official documentation: “Knowledge Catalog is integrated with Cloud Monitoring, which collects metrics, events, and metadata from Knowledge Catalog services.”
• Cloud Monitoring works with Sensitive Data Protection From the official documentation: “Sensitive Data Protection sends detailed telemetry about your Sensitive Data Protection usage to Monitoring.”
• Cloud Monitoring works with VPC Service Controls From the official documentation: “Cloud Monitoring performs the VPC perimeter check when a project is *added* to a metrics scope:”
• Cloud Storage works with GKE From the official documentation: “Route Cloud Storage events to GKE”
• Cloud Storage works with Knowledge Catalog From the official documentation: “To automatically discover and build inventories of the data assets, integrate Knowledge Catalog with your storage systems, such as [BigQuery](/bigquery/docs/introduction), [Cloud Storage](/storage/docs/introduction), and [Pub/Sub](/pubsub/docs/overview).”
• GKE works with Google Cloud Marketplace From the official documentation: “You can select and deploy container-based applications from Google Cloud Marketplace to your Google Kubernetes Engine cluster.”
• Google Cloud Marketplace works with Pub/Sub From the official documentation: “Integrate with Pub/Sub to receive notifications from Cloud Marketplace, such as when a user signs up for your product.”
• Knowledge Catalog depends on Cloud Storage From the official documentation: “Looker (Google Cloud core) publishes LookML metadata to regional Cloud Storage repositories for Knowledge Catalog to consume through a batch sync process.”
• Knowledge Catalog works with Pub/Sub From the official documentation: “To automatically discover and build inventories of the data assets, integrate Knowledge Catalog with your storage systems, such as [BigQuery](/bigquery/docs/introduction), [Cloud Storage](/storage/docs/introduction), and [Pub/Sub](/pubsub/docs/overview).”
• 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.”
• listing is part of data clean rooms From the official documentation: “A view is created for your data and is added as a listing to the data clean room.”
• Sensitive Data Protection secures BigQuery From the official documentation: “To help meet compliance requirements, use Sensitive Data Protection to inspect your BigQuery tables and to help protect your sensitive data.”
• VPC Service Controls secures Cloud Logging From the official documentation: “The API for Cloud Logging can be protected by VPC Service Controls and the product can be used normally inside service perimeters.”
• VPC Service Controls secures Cloud Monitoring From the official documentation: “VPC Service Controls provides additional security for Cloud Monitoring to help mitigate the risk of data exfiltration.”
• VPC Service Controls secures data product From the official documentation: “This page describes how to configure VPC Service Controls to secure your data products.”
• VPC Service Controls secures GKE From the official documentation: “The Kubernetes Engine API can be protected by VPC Service Controls and the product can be used normally inside service perimeters.”
• VPC Service Controls secures Sensitive Data Protection From the official documentation: “VPC Service Controls enables you to define a security perimeter around your projects and resources, including Sensitive Data Protection resources.”