ACL

Related topics

• ACL secures object From the official documentation: “You can also use [access control lists (ACLs)](/storage/docs/access-control/lists) to control access to individual objects.”
• ACL is part of Cloud Storage From the official documentation: “View the access control list (ACL) for an object in a Cloud Storage bucket that's filtered by user.”
• 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.”
• ACL is an alternative to Identity and Access Management From the official documentation: “- If you use IAM, you should have `storage.buckets.update`, `storage.buckets.get`, `storage.objects.update`, and `storage.objects.get` permissions on the relevant bucket. See [Using IAM Permissions](/storage/docs/access-control/using-iam-permissions) for instructions on how to…”
• ACL configures Objects From the official documentation: “ACLs control permissioning only for Cloud Storage resources and have limited permission options, but allow you to grant permissions per individual objects.”
• 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.”
• 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.”
• BigQuery works with Dataflow From the official documentation: “Read from BigQuery to Dataflow”
• Cloud Storage works with Dataflow From the official documentation: “Write from Dataflow to Cloud Storage”
• Cloud Storage bucket is part of Cloud Storage From the official documentation: “Create a Google Cloud Storage bucket”
• IAM roles is part of Identity and Access Management From the official documentation: “IAM roles give the principals permissions to perform tasks on your App Topology resources.”
• Identity and Access Management secures Cloud Storage From the official documentation: “Cloud Storage uses Identity and Access Management (IAM) for authorization.”
• BigQuery works with Identity and Access Management From the official documentation: “BigQuery uses Identity and Access Management (IAM) for authorization.”
• 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.”
• soft delete is part of Cloud Storage From the official documentation: “How to get the Cloud Storage soft delete storage cost.”
• soft delete secures object From the official documentation: “Protect objects from accidental deletion by using [soft delete](/storage/docs/soft-delete).”
• Storage Transfer Service depends on Cloud Storage From the official documentation: “Storage Transfer Service requires access to Cloud Storage buckets in order to move data into or between Cloud Storage buckets.”
• 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 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 works with Storage Transfer Service From the official documentation: “If needed, you can load the full record of all transfer errors to BigQuery to check on files or evaluate errors that remained even after retries.”
• Cloud SQL depends on Cloud Storage From the official documentation: “When ingesting data from Cloud SQL, data is first staged to a Cloud Storage bucket.”
• 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 SQL works with Dataflow From the official documentation: “Use Datastream to replicate changes from your MySQL instance to either BigQuery or Cloud Storage, and then use Dataflow or Managed Service for Apache Spark to bring the data into your Cloud SQL instance.”
• Cloud SQL works with Identity and Access Management From the official documentation: “This page describes how Cloud SQL is integrated with IAM .”
• 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 Objects From the official documentation: “Within the `artifacts` field, the `object` field specifies one or more artifacts to be stored in Cloud Storage.”
• 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 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.”
• Dataflow depends on Identity and Access Management From the official documentation: “Dataflow uses Identity and Access Management (IAM) for authorization.”
• IAM roles secures Cloud Storage From the official documentation: “**Fine-grained access control**: Control agent access to Cloud Storage precisely using [IAM roles](/storage/docs/access-control/iam-roles).”
• IAM roles configures Cloud Storage bucket From the official documentation: “Provide your instance with the `storage.objectAdmin` and `objectViewer` [IAM roles](/storage/docs/access-control/iam-roles) for your bucket.”
• 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 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).”
• Identity and Access Management configures Dataflow From the official documentation: “To control access to Dataflow resources for users, groups, and service accounts in a project or organization, use Identity and Access Management (IAM).”
• Identity and Access Management works with Storage Transfer Service From the official documentation: “Storage Transfer Service uses [Identity and Access Management (IAM)](https://cloud.google.com/iam/) permissions and roles to control who can access Storage Transfer Service resources.”
• object is part of Cloud Storage bucket From the official documentation: “Every [object](/storage/docs/objects) in Cloud Storage must reside in a bucket, where you can configure settings such as the geographic location and who can access the data.”
• Objects is part of Cloud Storage From the official documentation: “The Objects resource represents an object within Cloud Storage.”
• soft delete is part of Cloud Storage bucket From the official documentation: “For more information, see the [Cloud Storage soft delete documentation](/storage/docs/soft-delete).”
• 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.”