Create Interactive Metabase Dashboards that Work with Google Cloud Storage Data

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CData Connect



Use CData Connect to create a virtual MySQL database for Google Cloud Storage data and create an interactive dashboard in Metabase from Google Cloud Storage data.

Metabase is an open source data visualization tool that allows users to create interactive dashboards. When paired with CData Connect Cloud, users can easily create visualizations and dashboards linked to live Google Cloud Storage data. This article describes how to create a virtual database for Google Cloud Storage and build a simple visualization using Google Cloud Storage data.

CData Connect provides a pure SQL interface for Google Cloud Storage, allowing you to easily integrate with live Google Cloud Storage data in Metabase — without replicating the data. Connect looks exactly like a MySQL database to Metabase and uses optimized data processing out of the box to push all supported SQL operations (filters, JOINs, etc) directly to Google Cloud Storage, leveraging server-side processing to quickly return Google Cloud Storage data.

Create a Virtual MySQL Database for Google Cloud Storage Data

CData Connect Cloud uses a straightforward, point-and-click interface to connect to data sources and generate APIs.

  1. Log into Connect Cloud and click Databases.
  2. Select "Google Cloud Storage" from Available Data Sources.
  3. Enter the necessary authentication properties to connect to Google Cloud Storage.

    Authenticate with a User Account

    You can connect without setting any connection properties for your user credentials. After setting InitiateOAuth to GETANDREFRESH, you are ready to connect.

    When you connect, the Google Cloud Storage OAuth endpoint opens in your default browser. Log in and grant permissions, then the OAuth process completes

    Authenticate with a Service Account

    Service accounts have silent authentication, without user authentication in the browser. You can also use a service account to delegate enterprise-wide access scopes.

    You need to create an OAuth application in this flow. See the Help documentation for more information. After setting the following connection properties, you are ready to connect:

    • InitiateOAuth: Set this to GETANDREFRESH.
    • OAuthJWTCertType: Set this to "PFXFILE".
    • OAuthJWTCert: Set this to the path to the .p12 file you generated.
    • OAuthJWTCertPassword: Set this to the password of the .p12 file.
    • OAuthJWTCertSubject: Set this to "*" to pick the first certificate in the certificate store.
    • OAuthJWTIssuer: In the service accounts section, click Manage Service Accounts and set this field to the email address displayed in the service account Id field.
    • OAuthJWTSubject: Set this to your enterprise Id if your subject type is set to "enterprise" or your app user Id if your subject type is set to "user".
    • ProjectId: Set this to the Id of the project you want to connect to.

    The OAuth flow for a service account then completes.

  4. Click Test Database.
  5. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

Connect to CData Connect from Metabase

After creating the virtual database, navigate to your Metabase instance. Use the MySQL interface to connect to CData Connect.

  1. Navigate to the administration screen (Settings -> Admin) and click "Add Database" from the "Databases" tab
  2. Configure the connection to CData Connect and click "Save"
    • Database type: Select "MySQL"
    • Name: Name the connection (e.g. "Google Cloud Storage (CData Connect)")
    • Host: The URL of your Connect instance (e.g. https://myinstance.cdatacloud.net)
    • Port: The port of the MySQL endpoint for your Connect instance (e.g. 3306)
    • Database name: The name of the virtual database you just created (e.g. Google Cloud Storage1)
    • Username: A CData Connect username
    • Password: The password for the above CData Connect user
    • Click to Use a secure connection (SSL)

Query Google Cloud Storage Data with Metabase

Once you configure the connection to CData Connect, you can query Google Cloud Storage and build visualizations.

  1. Use the "Write SQL" tool to retrieve the Google Cloud Storage data
  2. Write a SQL query based on the virtual database, e.g.

    SELECT Name, OwnerId FROM Buckets WHERE Name = 'TestBucket'
  3. Navigate to the "Visualization" screen, choose a visualization, and configure the visualization

More Information & Free Trial

At this point, you have built a simple visualization from Google Cloud Storage data in Metabase. You can continue to work with live Google Cloud Storage data in Metabase just like you would any MySQL database. For more information on creating a virtual MySQL database for Google Cloud Storage (and more than 200 other data sources), visit the Connect Cloud page. Sign up for a free trial and start working with live Google Cloud Storage data in Metabase today.