Data source

Related topics

• backup is part of Data source From the official documentation: “- **Backup**: a child resource of a data source representing a discrete backup with a specific point-in-time recovery point.”
• BigQuery Data Transfer Service works with Data source From the official documentation: “Retrieves information for a specific data source, such as Google Ads or YouTube, supported by the BigQuery Data Transfer Service.”
• BigQuery table works with Data source From the official documentation: “A BigQuery data source can fetch data from a [table, view, or graph,](#connect-to-a-bigquery-table-or-view) or from a [custom SQL query](#connect-to-custom-query).”
• Data source is part of Data Studio From the official documentation: “Connecting to your data creates a data source in Data Studio.”
• Data source depends on dataset From the official documentation: “When you upload a file, you add that file to a "dataset." You can then create a data source based on that dataset.”
• report depends on Data source From the official documentation: “The data in your reports comes from a data source.”
• 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”
• customer-managed encryption keys secures Cloud Storage From the official documentation: “CMEKs encrypt data at rest in Cloud SQL, Cloud Storage, and within GKE clusters.”
• 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.”
• BigQuery works with Data Studio From the official documentation: “Select the BigQuery [connector](/data-studio/connector).”
• 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 customer-managed encryption keys From the official documentation: “Cloud Storage supports CMEK for routing logs.”
• customer-managed encryption keys secures BigQuery From the official documentation: “You can either create CMEKs manually to protect your BigQuery resources or use Cloud KMS Autokey.”
• BigQuery works with Google Cloud Storage From the official documentation: “Load Cloud Storage data into BigQuery”
• BigQuery Data Transfer Service works with Cloud Storage From the official documentation: “- [Cloud Storage](/bigquery/docs/cloud-storage-transfer)”
• 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.”
• customer-managed encryption keys secures backup From the official documentation: “When you create a new backup, you can choose whether to encrypt it using the default Google-managed encryption or a CMEK key.”
• customer-managed encryption keys depends on Cloud Storage From the official documentation: “If used for storing Customer-managed Encryption Keys (CMEK): Cloud Storage (See [Cloud Storage pricing](/storage/pricing).)”
• customer-managed encryption keys secures dataset From the official documentation: “For **datasets**, when a user imports data into dataset, the data items and annotations are CMEK-encrypted.”
• backup works with Backup and DR From the official documentation: “Use [Backup and DR Service](/backup-disaster-recovery/docs/concepts/backup-dr) or similar tools to track the health of your backups and confirm that they are stored in secure and reliable locations.”
• Backup and DR works with BigQuery From the official documentation: “Backup and DR integrates with Cloud Monitoring, Cloud Logging, and BigQuery services and provides the following benefits:”
• Backup and DR works with Cloud Storage From the official documentation: “With Backup and DR Service, you can:<br><br><ul><li>Back up Persistent Disk snapshots of your Compute Engine VMs toCloud Storage buckets.</li>”
• Backup and DR works with customer-managed encryption keys From the official documentation: “This guide explains how to enhance backup security by using Customer-Managed Encryption Keys (CMEK) with Backup and DR.”
• Backup and DR works with Data Studio From the official documentation: “This page explains how to view Backup and DR prebuilt reports in Data Studio for vaulted backups.”
• Backup and DR depends on Identity and Access Management From the official documentation: “To access Backup and DR, each user needs a Google Account that has been added to a Google Cloud project, folder, or organization as a principal with an Identity and Access Management role that allows access to the Google Cloud console.”
• Backup and DR works with Identity and Access Management From the official documentation: “The Google Cloud-native Backup and DR Service integrates with the Google Cloud ecosystem, including simplified sign-on via SSO, seamless integration with Identity and Access Management (IAM), Cloud Logging, Cloud Monitoring, Key Management, and more.”
• BigQuery works with BigQuery table From the official documentation: “If the table or partition already exists, BigQuery appends the data to the table or the latest partition.”
• 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 Data Transfer Service works with customer-managed encryption keys From the official documentation: “When you specify a CMEK with a transfer, the BigQuery Data Transfer Service applies the CMEK to any intermediate on-disk cache of ingested data so that the entire data transfer workflow is CMEK compliant.”
• BigQuery Data Transfer Service works with Google Cloud Storage From the official documentation: “As part of the data transfer, BigQuery Data Transfer Service writes data from Amazon Redshift to Cloud Storage as CSV files.”
• BigQuery table is part of BigQuery From the official documentation: “To export the results to your own BigQuery table, specify a BigQuery destination in the request.”
• BigQuery table is part of dataset From the official documentation: “[Datasets](/bigquery/docs/datasets-intro) organize and control access for groups of tables, views, and graphs.”
• Cloud Storage configures backup From the official documentation: “Use Google Cloud tools like Cloud Storage, Cloud SQL automated backups, or Spanner backups to schedule and manage backups.”
• 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).”
• customer-managed encryption keys secures Backup and DR From the official documentation: “With CMEK, you can protect your Backup and DR data using a cryptographic key that you control through Cloud Key Management Service.”
• customer-managed encryption keys is part of BigQuery From the official documentation: “If you require more control over encryption keys, BigQuery supports [customer-managed encryption keys](/bigquery/docs/customer-managed-encryption) in the [Cloud Key Management Service](/kms/docs).”
• customer-managed encryption keys is part of Cloud Storage From the official documentation: “[Cloud Storage](/storage/docs/introduction) provides features such as customer-managed encryption, lifecycle management, and aging and retention policies.”
• customer-managed encryption keys secures Google Cloud Storage From the official documentation: “In IL5, CMEK is enabled by default for Compute Engine, Google Kubernetes Engine (GKE), Cloud Storage, and Cloud SQL.”
• Data Studio works with Google Cloud Storage From the official documentation: “All the data you upload via Data Studio is stored in Google Cloud Storage.”
• Data Studio depends on Identity and Access Management From the official documentation: “Access to Data Studio assets (reports and data sources) is based on the Google Cloud Identity and Access Management (IAM) system.”
• dataset is part of BigQuery From the official documentation: “Create a BigQuery dataset to store your models and sample data:”
• dataset depends on Google Cloud Storage From the official documentation: “Create a dataset using an empty Cloud Storage 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 secures dataset From the official documentation: “IAM lets you control who has access to your datasets and data stores.”
• 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).”
• report is part of Data Studio From the official documentation: “**Report**: A Data Studio asset that presents information and insights derived from your data.”