authorized views

Related topics

• authorized views is part of BigQuery From the official documentation: “You can also use security features such as [authorized views](/bigquery/docs/authorized-views) and [authorized user-defined functions](/bigquery/docs/user-defined-functions#authorize_routines) (UDFs) to make aggregated data available to certain users without granting them…”
• authorized views depends on Identity and Access Management From the official documentation: “To use authorized views, you need the following [IAM permissions](/resource-manager/docs/access-control-proj#permissions_and_roles):”
• 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 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 Sensitive Data Protection From the official documentation: “Uses the Data Loss Prevention API to analyze BigQuery data.”
• Application Default Credentials works with Cloud Storage From the official documentation: “To authenticate to Cloud Storage, set up Application Default Credentials.”
• BigQuery works with Dataflow From the official documentation: “Read from BigQuery to Dataflow”
• Sensitive Data Protection depends on Application Default Credentials From the official documentation: “To authenticate to Sensitive Data Protection, set up Application Default Credentials.”
• Application Default Credentials works with BigQuery From the official documentation: “Create a BigQuery client using application default credentials.”
• Application Default Credentials secures Sensitive Data Protection From the official documentation: “To authenticate to Sensitive Data Protection, set up Application Default Credentials.”
• Cloud Storage works with Dataflow From the official documentation: “Write from Dataflow to Cloud Storage”
• 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 is an alternative to Google Cloud Storage From the official documentation: “The training data can be either a CSV file in Cloud Storage or a table in BigQuery.”
• Cloud Storage works with Sensitive Data Protection From the official documentation: “Uses the Data Loss Prevention API to analyze a file on GCS.”
• Application Default Credentials secures Dataflow From the official documentation: “To authenticate to Dataflow, set up Application Default Credentials.”
• Application Default Credentials works with Dataflow From the official documentation: “To authenticate to Dataflow, set up Application Default Credentials.”
• Application Default Credentials works with Sensitive Data Protection From the official documentation: “To authenticate to Sensitive Data Protection, set up Application Default Credentials.”
• Dataflow depends on Application Default Credentials From the official documentation: “To authenticate to Dataflow, set up Application Default Credentials.”
• Application Default Credentials configures BigQuery From the official documentation: “To authenticate to BigQuery, set up Application Default Credentials.”
• Application Default Credentials works with Google Cloud Storage From the official documentation: “To authenticate to Cloud Storage, set up Application Default Credentials.”
• Application Default Credentials configures Sensitive Data Protection From the official documentation: “To authenticate to Sensitive Data Protection, set up Application Default Credentials.”
• BigQuery works with Google Cloud Storage From the official documentation: “Load Cloud Storage data into BigQuery”
• Cloud SQL works with Sensitive Data Protection From the official documentation: “Sensitive Data Protection starts identifying your Cloud SQL instances and creating a default connection for each instance.”
• Cloud Storage depends on Application Default Credentials From the official documentation: “To authenticate to Cloud Storage, set up Application Default Credentials.”
• Identity and Access Management secures Cloud Storage From the official documentation: “Cloud Storage uses Identity and Access Management (IAM) for authorization.”
• Application Default Credentials works with Cloud SQL From the official documentation: “Application Default Credentials are part of the client libraries you can use to access Cloud SQL.”
• 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 works with Identity and Access Management From the official documentation: “To authenticate to IAM, set up Application Default Credentials.”
• 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.”
• Dataflow works with Google Cloud Storage From the official documentation: “When you run a pipeline using Dataflow, your results are stored in a Cloud Storage bucket.”
• Dataflow works with Sensitive Data Protection From the official documentation: “This proof-of-concept uses Dataflow and Sensitive Data Protection to securely tokenize and import data from a relational database to BigQuery.”
• Google Cloud Storage depends on Application Default Credentials From the official documentation: “To authenticate to Cloud Storage, 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.”
• 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 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).”
• Dataflow depends on Google Cloud Storage From the official documentation: “- A gcs bucket for staging DataFlow files. Replace `<BUCKET_NAME>`: the name of a valid Google Cloud Storage bucket.”
• Dataflow depends on Identity and Access Management From the official documentation: “Dataflow uses Identity and Access Management (IAM) for authorization.”
• Google Cloud Storage works with Sensitive Data Protection From the official documentation: “This page describes how Sensitive Data Protection can create de-identified copies of data stored in Cloud Storage.”
• 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 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 configures Google Cloud Storage From the official documentation: “Grant permission for the service account to list and view files in the bucket: ```bash gcloud storage buckets add-iam-policy-binding gs://${PROJECT_ID}-bucket/ \ --member=serviceAccount:sa-test-app-team-x@${PROJECT_ID}.iam.gserviceaccount.com \ --role=roles/storage.objectViewer…”
• Identity and Access Management secures Google Cloud Storage 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).”
• Sensitive Data Protection depends on Identity and Access Management From the official documentation: “Sensitive Data Protection uses Identity and Access Management (IAM) to control access to resources.”