Cloud Storage bucket

Related topics

• Cloud Storage bucket is part of Cloud Storage From the official documentation: “Create a Google Cloud Storage bucket”
• Cloud Storage bucket is part of Managed Airflow environment From the official documentation: “Managed Airflow associates a Cloud Storage bucket with your environment.”
• ACL secures Cloud Storage bucket From the official documentation: “As a result, even though ACLs prevent unauthorized third parties from operating on buckets or objects, a third party can attempt requests with bucket or object names and determine their existence by observing the error responses.”
• Batch works with Cloud Storage bucket From the official documentation: “Create and submit a sample Batch job that runs a script that accesses an existing Cloud Storage bucket.”
• BigQuery works with Cloud Storage bucket From the official documentation: “BigQuery lets you load [Datastore](/datastore) entities from a Cloud Storage bucket into a BigQuery table for analysis.”
• BigQuery connection works with Cloud Storage bucket From the official documentation: “Ensure that the BigQuery connection and the BigQuery dataset exist in the same region, and that they are compatible with the location of the Cloud Storage bucket.”
• BigQuery Data Transfer Service depends on Cloud Storage bucket From the official documentation: “This bucket is used by the BigQuery Data Transfer Service as a staging area for data files to be ingested into BigQuery.”
• BigQuery dataset works with Cloud Storage bucket From the official documentation: “When you query data in Cloud Storage by using a [BigLake](/bigquery/docs/query-cloud-storage-using-biglake) or a [non-BigLake external table](/bigquery/docs/query-cloud-storage-data), the bucket must be colocated with your BigQuery dataset that contains the external table…”
• Cloud SQL works with Cloud Storage bucket From the official documentation: “If you exported into a Cloud Storage bucket, you can also check the log file created by Cloud SQL in the bucket for information about export status.”
• Cloud Storage bucket works with Dataflow From the official documentation: “Begin by creating a Cloud Storage bucket using Google Cloud CLI. This bucket is used as a temporary storage location by the Dataflow pipeline.”
• Cloud Storage bucket works with Managed Airflow environment From the official documentation: “Every Managed Airflow environment has a Cloud Storage bucket associated with it.”
• Cloud Storage bucket works with Storage Transfer Service From the official documentation: “You can use [Storage Transfer Service](/storage-transfer/docs/create-transfers) to transfer data between zonal buckets and other Cloud Storage buckets.”
• Dataflow depends on Cloud Storage bucket From the official documentation: “Create a Cloud Storage bucket by using the gcloud CLI. This bucket is used as a temporary storage location by the Dataflow pipeline.”
• Identity and Access Management configures Cloud Storage bucket From the official documentation: “You can use [Identity and Access Management (IAM)](/storage/docs/access-control/iam) to control access to individual buckets.”
• Identity and Access Management secures Cloud Storage bucket From the official documentation: “These modifications to that file define a second backup repository in a Cloud Storage bucket, accessed through Identity and Access Management (IAM).”
• Storage Transfer Service depends on Cloud Storage bucket From the official documentation: “The service agent running the transfer must have `storage.objects.get` permission for the bucket containing the manifest.”
• 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”
• Cloud Storage works with Storage Transfer Service From the official documentation: “Transfer data between Cloud Storage services such as AWS S3 and Cloud Storage.”
• BigQuery works with Cloud SQL From the official documentation: “Add credentials to connect BigQuery to Cloud SQL.”
• BigQuery works with Cloud Logging From the official documentation: “BigQuery utilizes Cloud Logging for some of your log data.”
• Cloud SQL works with Cloud Storage From the official documentation: “Exports data from a Cloud SQL instance to a Cloud Storage bucket as a SQL dump or CSV file.”
• Dataflow works with Pub/Sub From the official documentation: “Pub/Sub notifies Dataflow about the upload.”
• BigQuery works with Dataflow From the official documentation: “Read from BigQuery to Dataflow”
• BigQuery works with BigQuery Data Transfer Service From the official documentation: “The BigQuery Data Transfer Service uses load jobs to load Amazon S3 data into BigQuery.”
• Cloud Storage works with Dataflow From the official documentation: “Write from Dataflow to Cloud Storage”
• VPC Service Controls secures BigQuery From the official documentation: “BigQuery data is protected with VPC Service Controls”
• Compute Engine works with service account From the official documentation: “A common method is to attach a service account to a resource like a Compute Engine instance.”
• Dataflow works with Managed Service for Apache Airflow From the official documentation: “Launch Dataflow pipelines with Cloud Composer”
• Cloud SQL works with Compute Engine From the official documentation: “Cloud SQL uses Compute Engine virtual machines (VMs) with persistent storage disks.”
• BigQuery works with Pub/Sub From the official documentation: “createBigQuerySubscription creates a Pub/Sub subscription that exports messages to BigQuery.”
• BigQuery dataset is part of BigQuery From the official documentation: “Sample demonstrating how to create a dataset in BigQuery.”
• Cloud Logging works with Pub/Sub From the official documentation: “Pub/Sub writes various log entries to Cloud Logging in the Google Cloud console.”
• 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.”
• Cloud Logging works with Cloud SQL From the official documentation: “Database Migration Service and Cloud SQL use Cloud Logging.”
• 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 Storage Transfer Service From the official documentation: “Enable Cloud Logging for agentless transfers, or transfers from S3-compatible sources, with `--log-actions` and `--log-action-states`.”
• Cloud Storage works with Compute Engine From the official documentation: “For example, you can create a service account that your Compute Engine instances use to access objects stored in Cloud Storage buckets.”
• Cloud Storage works with Pub/Sub From the official documentation: “| **Google Cloud** | Cloud Storage | Pub/Sub |”
• BigQuery works with Managed Service for Apache Airflow From the official documentation: “You can use Managed Airflow to orchestrate services in your data pipelines, such as triggering a job in BigQuery or starting a Dataflow pipeline.”
• 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.”
• BigQuery Data Transfer Service works with Cloud Storage From the official documentation: “- [Cloud Storage](/bigquery/docs/cloud-storage-transfer)”
• Cloud Logging works with Compute Engine From the official documentation: “Compute Engine sends you Cloud Logging events for scheduled, started, or completed maintenance.”
• Identity and Access Management secures Cloud Storage From the official documentation: “Cloud Storage uses Identity and Access Management (IAM) for authorization.”
• service account is part of Identity and Access Management From the official documentation: “Service accounts function as both principals and resources within IAM.”
• VPC Service Controls secures Cloud Storage From the official documentation: “Storage Transfer Service supports transfers to Cloud Storage buckets protected by VPC Service Controls.”
• VPC Service Controls secures Managed Service for Apache Airflow From the official documentation: “Managed Airflow can be selected as a secured service inside a VPC Service Controls perimeter.”
• Batch depends on Compute Engine From the official documentation: “After you submit the job, Batch automatically queues, schedules, and executes the job on Compute Engine VMs.”
• Batch works with Compute Engine From the official documentation: “After you submit the job, Batch automatically queues, schedules, and executes the job on Compute Engine VMs.”
• 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.”
• BigQuery Data Transfer Service works with Cloud Logging From the official documentation: “The BigQuery Data Transfer Service exports logs and metrics to Cloud Monitoring and Cloud Logging that provide observability into your transfers.”
• BigQuery Data Transfer Service works with Pub/Sub From the official documentation: “If you intend to set up transfer run notifications for Pub/Sub, you must have `pubsub.topics.setIamPolicy` permissions.”
• 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 Storage works with Managed Service for Apache Airflow From the official documentation: “When you upload your DAG file to the `dags/` folder in Cloud Storage, Managed Airflow parses the file.”
• Cloud Storage works with service account From the official documentation: “The service account can manage objects in the Cloud Storage bucket.”
• Dataflow depends on Cloud Storage From the official documentation: “Begin by creating a Cloud Storage bucket using the Google Cloud console or Google Cloud CLI. The Dataflow pipeline uses this bucket as a temporary storage location.”
• Dataflow depends on Compute Engine From the official documentation: “When Dataflow runs a pipeline, the processing is distributed across multiple Compute Engine virtual machines (VMs), also known as workers.”
• Identity and Access Management secures Compute Engine From the official documentation: “Compute Engine uses Identity and Access Management (IAM) for authorization.”
• 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.”