Data Studio

Related topics

• BigQuery works with Data Studio From the official documentation: “Select the BigQuery [connector](/data-studio/connector).”
• Data Studio works with Looker From the official documentation: “See the [Connecting to Data Studio](/looker/docs/looker-studio-connector) documentation page to learn more about connecting Looker and Data Studio.”
• Data Studio works with Looker Explore From the official documentation: “With the Looker connector in Data Studio, you can create a [data source](/looker/docs/studio/about-data-sources) that lets you view and analyze data from a Looker Explore within Data Studio.”
• 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.”
• basic roles is part of Data Studio From the official documentation: “The following basic roles are available to all Data Studio users.”
• BigQuery BI Engine works with Data Studio From the official documentation: “BI Engine integrates with Data Studio to accelerate data exploration and analysis.”
• Data source is part of Data Studio From the official documentation: “Connecting to your data creates a data source in Data Studio.”
• Data Studio works with Explore From the official documentation: “View Looker Explore data in Data Studio”
• 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.”
• Data Studio is an alternative to Looker From the official documentation: “You can also [export these recommendations to BigQuery](/recommender/docs/bq-export/export-recommendations-to-bq) and then examine them using [Data Studio](/bigquery/docs/visualize-looker-studio) or [Looker](/bigquery/docs/looker).”
• Data Studio works with Looker Studio connector From the official documentation: “Use the Looker connector to create a Looker data source in Data Studio”
• Dimension is part of Data Studio From the official documentation: “There are two types of fields in Data Studio: - **Dimensions** are your categories or labels.”
• Looker Studio connector is part of Data Studio From the official documentation: “This page covers the following topics about the Looker connector in Data Studio:”
• BigQuery works with Cloud SQL From the official documentation: “Add credentials to connect BigQuery to Cloud SQL.”
• VPC Service Controls secures BigQuery From the official documentation: “BigQuery data is protected with VPC Service Controls”
• BigQuery works with Looker From the official documentation: “Connect Looker to the BigQuery project.”
• 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.”
• BigQuery works with Spanner From the official documentation: “Federated analytics seamlessly combine data from Spanner and other sources in BigQuery.”
• Cloud SQL works with Compute Engine From the official documentation: “Cloud SQL uses Compute Engine virtual machines (VMs) with persistent storage disks.”
• Backup and DR works with Compute Engine From the official documentation: “This page details how to use Backup and DR to back up the disks of a Compute Engine instance.”
• BigQuery works with Google Cloud Storage From the official documentation: “Load Cloud Storage data into BigQuery”
• Identity and Access Management secures Spanner From the official documentation: “Identity and Access Management (IAM) lets you control user and group access to Spanner resources at the project, Spanner instance, and Spanner database levels.”
• basic roles is part of Identity and Access Management From the official documentation: “IAM provides three types of roles: [predefined roles](#predefined-compute-engine-roles), [basic roles](#basic-iam-roles), and [custom roles](/iam/docs/understanding-custom-roles).”
• BigQuery works with Identity and Access Management From the official documentation: “BigQuery uses Identity and Access Management (IAM) for authorization.”
• BigQuery works with Looker (Google Cloud core) From the official documentation: “If your Looker instance relies on BigQuery, you must explicitly grant the required BigQuery roles to your Looker service agent:”
• BigQuery BI Engine is part of BigQuery From the official documentation: “BI Engine acceleration is part of BigQuery job processing.”
• BigQuery BI Engine works with Looker From the official documentation: “The BI Engine seamlessly integrates with any business intelligence (BI) tools, including Looker.”
• Cloud SQL is an alternative to Spanner From the official documentation: “If a workload requires transaction processing with strong relational consistencies, [Spanner](/spanner/docs/overview) or [Cloud SQL](/sql/docs) can be better alternatives.”
• Compute Engine works with Google Cloud Storage From the official documentation: “The usage export bucket is a Google Cloud Storage bucket where Compute Engine usage reports are stored.”
• Google Cloud Storage works with Spanner From the official documentation: “- Export any Spanner database into a Cloud Storage bucket using either Avro or CSV file formats.”
• 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.”
• Looker (Google Cloud core) works with VPC Service Controls From the official documentation: “VPC Service Controls support for Looker (Google Cloud core)”
• VPC Service Controls secures Compute Engine From the official documentation: “To further protect your Compute Engine resources, you can protect them using [VPC Service Controls](/vpc-service-controls/docs/overview).”
• 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 SQL From the official documentation: “Enhanced backups allow you to use Backup and DR Service with your Cloud SQL instances to manage your backups.”
• Backup and DR secures Compute Engine From the official documentation: “Backup and DR ensures that the chosen Compute Engine instances get backed up per the frequency set in the backup policy.”
• 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.”
• Backup and DR works with VPC Service Controls From the official documentation: “This page gives an overview of [VPC Service Controls](/vpc-service-controls) and how you can integrate it with Backup and DR to secure your data and resources.”
• BigQuery works with BigQuery BI Engine From the official documentation: “Integrating BI Engine with Tableau Desktop lets you build fast, interactive reports and dashboards backed by BigQuery.”
• BigQuery works with Compute Engine From the official documentation: “Compute Engine integrates with Google Cloud technologies such as Cloud Storage, Google Kubernetes Engine, and BigQuery, to extend beyond the basic computational capability to create more complex and sophisticated applications.”
• BigQuery works with VPC Service Controls From the official documentation: “BigQuery integrates with VPC Service Controls to restrict access to your BigQuery resources from specific networks.”
• Cloud SQL depends on Compute Engine From the official documentation: “Cloud SQL uses Compute Engine virtual machines (VMs) with persistent storage disks.”
• Cloud SQL works with Identity and Access Management From the official documentation: “This page describes how Cloud SQL is integrated with IAM .”
• Cloud SQL works with Looker From the official documentation: “To get started, see [Use Looker with Cloud SQL](/sql/docs/sqlserver/looker).”
• Cloud SQL works with VPC Service Controls From the official documentation: “Make sure that you configure VPC Service Controls so that the project that hosts the CA Service CA pool and CA<br>and the project that hosts Cloud SQL belong to the same service perimeter.”
• Compute Engine works with Spanner From the official documentation: “Use Spanner [client libraries](/spanner/docs/reference/libraries) from within a Compute Engine instance.”
• 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.”
• 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.”
• Explore is part of Looker From the official documentation: “Ex = [Explore](/looker/docs/creating-and-editing-explores)”
• Explore is part of Looker (Google Cloud core) From the official documentation: “In Looker, click **Main menu** menu to expand the main navigation menu. 2. In the main navigation menu, select **Explore**.”
• 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).”
• Identity and Access Management works with Looker (Google Cloud core) From the official documentation: “Looker (Google Cloud core) uses Identity and Access Management (IAM) to provision user and admin access through a set of [IAM roles](#iam-roles).”
• Looker works with Spanner From the official documentation: “See [Connect Spanner to Looker](/spanner/docs/partners/looker) for an overview of how Looker relates to Spanner”