Knowledge Catalog

Related topics

• BigQuery works with Knowledge Catalog From the official documentation: “Some Knowledge Catalog functionalities trigger job execution using BigQuery.”
• Data Catalog is an alternative to Knowledge Catalog From the official documentation: “Use Knowledge Catalog for all new projects to take advantage of AI-powered features and enhanced governance.”
• Data Catalog is part of Knowledge Catalog From the official documentation: “Knowledge Catalog features”
• AlloyDB for PostgreSQL works with Knowledge Catalog From the official documentation: “Enable the Knowledge Catalog integration for your AlloyDB cluster”
• Identity and Access Management secures Knowledge Catalog From the official documentation: “IAM controls access to your Knowledge Catalog resources at the Google Cloud resource level.”
• Knowledge Catalog works with Managed Service for Apache Spark From the official documentation: “Managed Service for Apache Spark integrates with other Google Cloud products, such as BigQuery and Knowledge 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.”
• 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.”
• 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.”
• Agent Platform ML Metadata is an alternative to Knowledge Catalog From the official documentation: “To view and analyze the lineage of pipeline artifacts for workloads in Agent Platform, you can use [Agent Platform ML Metadata](/gemini-enterprise-agent-platform/machine-learning/ml-metadata/introduction) or [Knowledge Catalog](/dataplex/docs/introduction).”
• BigQuery Storage API works with Knowledge Catalog From the official documentation: “Even though the Analyst ran the same Spark code, the BigQuery Storage API intercepted the request and enforced the Knowledge Catalog policy.”
• 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).”
• 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.”
• Gemini in BigQuery depends on Knowledge Catalog From the official documentation: “Gemini in BigQuery uses the existing BigQuery context that is stored in Knowledge Catalog and Spanner.”
• Gemini in BigQuery works with Knowledge Catalog From the official documentation: “When you enter natural-language prompts in BigQuery Studio, Gemini automatically queries Knowledge Catalog business glossary definitions, column descriptions, and historical query relationships in the background.”
• 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 depends on Identity and Access Management From the official documentation: “Knowledge Catalog uses Identity and Access Management (IAM) for authorization.”
• 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.”
• 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 Storage From the official documentation: “External BigQuery data source backed by Cloud Storage”
• BigQuery works with Dataflow From the official documentation: “Read from BigQuery to Dataflow”
• VPC Service Controls secures BigQuery From the official documentation: “BigQuery data is protected with VPC Service Controls”
• Dataflow works with Pub/Sub From the official documentation: “Pub/Sub notifies Dataflow about the upload.”
• 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 Run functions works with Cloud Storage From the official documentation: “Set up functions in response to events in Cloud Storage:”
• 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 Cloud Run functions From the official documentation: “BigQuery supports external function calls through Cloud Run functions.”
• Cloud Run functions works with Pub/Sub From the official documentation: “Use Cloud Run functions to publish messages on Pub/Sub.”
• Cloud Storage works with Dataflow From the official documentation: “Write from Dataflow to Cloud Storage”
• 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 Gemini Enterprise Agent Platform From the official documentation: “The BigQuery dataset stores all versions for the associated Gemini Enterprise Agent Platform dataset.”
• BigQuery works with Managed Service for Apache Spark From the official documentation: “This means you can quickly read and write BigQuery data to and from Managed Service for Apache Spark.”
• BigQuery works with Pub/Sub From the official documentation: “createBigQuerySubscription creates a Pub/Sub subscription that exports messages to BigQuery.”
• Cloud Run functions depends on Pub/Sub From the official documentation: “The Pub/Sub message triggers Cloud Run functions.”
• 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 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.”
• BigQuery is an alternative to Managed Service for Apache Spark From the official documentation: “Run queries against your federated data using BigQuery or Managed Service for Apache Spark.”
• Cloud Storage works with Managed Service for Apache Spark From the official documentation: “Managed Service for Apache Spark accesses these files on Cloud Storage.”
• Dataflow is an alternative to Managed Service for Apache Spark From the official documentation: “For more complex data loads into your Cloud SQL for PostgreSQL database, consider using Dataflow or Managed Service for Apache Spark, which involves creating an ETL process.”
• Identity and Access Management secures BigQuery From the official documentation: “Access to BigQuery data from AlloyDB is managed through IAM.”
• Identity and Access Management secures Cloud Storage From the official documentation: “Cloud Storage uses Identity and Access Management (IAM) for authorization.”
• 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.”
• AlloyDB for PostgreSQL works with BigQuery From the official documentation: “BigQuery AlloyDB federation lets BigQuery query data residing in AlloyDB in real time without copying or moving the data.”
• AlloyDB for PostgreSQL works with Cloud Storage From the official documentation: “AlloyDB supports importing and exporting compressed `.gz` files from Cloud Storage.”
• AlloyDB for PostgreSQL works with Gemini Enterprise Agent Platform From the official documentation: “Integrate AlloyDB with Gemini Enterprise Agent Platform”
• BigQuery works with Gemini Enterprise From the official documentation: “The following table compares the two ways that you can import BigQuery data into Gemini Enterprise data stores.”
• BigQuery works with Identity and Access Management From the official documentation: “BigQuery uses Identity and Access Management (IAM) for authorization.”
• Cloud Storage works with Compute Engine From the official documentation: “You can use a web browser, the Google Cloud CLI, or a programming language to transfer files between Cloud Storage and Compute Engine VMs.”
• Managed Service for Apache Spark depends on Cloud Storage From the official documentation: “Managed Service for Apache Spark uses Cloud Storage as its default distributed file system.”
• VPC Service Controls secures Gemini Enterprise From the official documentation: “The API for Gemini Enterprise can be protected by VPC Service Controls and the product can be used normally inside service perimeters.”
• VPC Service Controls secures Gemini Enterprise Agent Platform From the official documentation: “The API for Agent Platform can be protected by VPC Service Controls and the product can be used normally inside service perimeters.”
• AlloyDB for PostgreSQL works with Pub/Sub From the official documentation: “Although AlloyDB doesn't provide a built-in method for automating exports, you can build an automation tool using other Google Cloud components such as Cloud Scheduler, Pub/Sub, and Cloud Run functions.”
• BigQuery works with Data Catalog From the official documentation: “The instructions in this page use both BigQuery and Data Catalog.”
• Cloud Run functions depends on Cloud Storage From the official documentation: “Cloud Run functions uses the config in Cloud Storage to determine what actions to take for each stateful MIG.”
• Cloud Run functions works with Sensitive Data Protection From the official documentation: “Create a simple Cloud Function that invokes the DLP API when files are uploaded.”