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URL: https://www.cdata.com/kb/tech/googlespanner-cloud-metabase.rst

⇱ How to integrate Metabase with Google Spanner Data


How to integrate Metabase with Google Spanner Data

πŸ‘ Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Use CData Connect AI to connect to live Google Spanner data and create an interactive dashboard in Metabase from Google Spanner data.

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

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

Configure Google Spanner Connectivity for Metabase

Connectivity to Google Spanner from Metabase is made possible through CData Connect AI. To work with Google Spanner data from Metabase, we start by creating and configuring a Google Spanner connection.

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. πŸ‘ Adding a Connection
  3. Select "Google Spanner" from the Add Connection panel
  4. πŸ‘ Selecting a data source
  5. Google Spanner uses OAuth to authenticate. Click "Sign in" to authenticate with Google Spanner. πŸ‘ Authenticating with OAuth (Salesforce is shown).
  6. Navigate to the Permissions tab in the Add Google Spanner Connection page and update the User-based permissions. πŸ‘ Updating permissions

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

  1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
  2. On the Settings page, go to the Access Tokens section and click Create PAT.
  3. Give the PAT a name and click Create. πŸ‘ Creating a new PAT
  4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to Google Spanner data from Metabase.

Connect to CData Connect AI from Metabase

After creating the connection in Connect AI, navigate to your Metabase instance. Use the SQL Server interface to connect to Connect AI.

  1. Navigate to the administration screen (Settings -> Admin) and click "Add Database" from the "Databases" tab πŸ‘ Adding a new database connection to Metabase.
  2. Configure the connection to Connect AI and click "Save"
    • Database type: Select "SQL Server"
    • Name: Name the connection (e.g. "Google Spanner (Connect AI)")
    • Host: tds.cdata.com
    • Port: 14333
    • Database name: The name of the connection you just created (e.g. GoogleSpanner1)
    • Username: A Connect AI username (e.g. [email protected])
    • Password: The PAT previously created
    • Click to Use a secure connection (SSL)
    πŸ‘ Configuring the connection to Connect AI.

Execute Google Spanner Data with Metabase

Once you configure the connection to Connect AI, you can query Google Spanner and build visualizations.

  1. Use the "Write SQL" tool to retrieve the Google Spanner data πŸ‘ Click the 'Write SQL' button.
  2. Write a SQL query based on the Google Spanner connection in CData Connect AI, e.g.

    SELECT Name, TotalDue FROM Customer
    πŸ‘ Collected data (Salesforce is shown).
  3. Navigate to the "Visualization" screen, choose a visualization, and configure the visualization πŸ‘ Collected data (Salesforce is shown).

More Information & Free Trial

At this point, you have built a simple visualization from Google Spanner data in Metabase. You can continue to work with live Google Spanner data in Metabase just like you would any SQL Server database. For more information on creating a live connection to Google Spanner (and more than 100 other data sources), visit the Connect AI page. Sign up for a free trial and start working with live Google Spanner data in Metabase today.

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