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⇱ Create Reports from Airtable Data in Looker Studio


Create Reports from Airtable Data in Looker Studio

πŸ‘ Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Use CData Connect AI to gain access to live Airtable data and create custom reports in Looker Studio.

Looker Studio, formerly known as Google Data Studio, empowers users to craft customized reports featuring data visualizations that can be shared with clients while reflecting your brand identity. When combined with CData Connect AI, you gain immediate cloud-to-cloud access to Airtable data to create visualizations, dashboards, and more. This article provides step-by-step instructions on establishing a virtual database for Airtable and generating reports from Airtable data within Looker Studio.

CData Connect AI offers a seamless cloud-to-cloud interface tailored for Airtable, making it straightforward to construct reports directly from live Airtable data within Looker Studio without the need for data replication. As you create visualizations, Looker Studio generates queries to retrieve data. With its inherent optimized data processing capabilities, CData Connect AI efficiently channels all supported query operations, including filters, JOINs, and more, directly to Airtable. This leverages server-side processing to swiftly provide the requested Airtable data.

This article requires a CData Connect AI instance and the CData Connect AI Connector for Looker Studio. Get more information on the CData Connect AI and sign up for a free trial at https://www.cdata.com/cloud.


Configure Airtable Connectivity for Looker Studio

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

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. πŸ‘ Adding a Connection
  3. Select "Airtable" from the Add Connection panel
  4. πŸ‘ Selecting a data source
  5. Enter the necessary authentication properties to connect to Airtable.

    APIKey, BaseId and TableNames parameters are required to connect to Airtable. ViewNames is an optional parameter where views of the tables may be specified.

    • APIKey : API Key of your account. To obtain this value, after logging in go to Account. In API section click Generate API key.
    • BaseId : Id of your base. To obtain this value, it is in the same section as the APIKey. Click on Airtable API, or navigate to https://airtable.com/api and select a base. In the introduction section you can find "The ID of this base is appxxN2ftedc0nEG7."
    • TableNames : A comma separated list of table names for the selected base. These are the same names of tables as found in the UI.
    • ViewNames : A comma separated list of views in the format of (table.view) names. These are the same names of the views as found in the UI.
    πŸ‘ Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab in the Add Airtable Connection page and update the User-based permissions. πŸ‘ Updating permissions

With the connection configured, you are ready to connect to Airtable data from Looker Studio.

Visualize Live Airtable Data from Looker Studio

The steps below outline connecting to CData Connect AI from Looker Studio to create a new Airtable data source and build a simple visualization from the data.

  1. Log into Looker Studio, click data sources, create a new data source, and choose CData Connect AI Connector.
  2. πŸ‘ Create a new connection in Looker Studio
  3. Click Authorize and allow access to your Google account. πŸ‘ Granting permissions to the Connector
  4. Click Authorize to authenticate with your CData Connect AI instance πŸ‘ Authenticating with CData Connect AI
  5. In the CData Connect AI Connector in Looker Studio select Connections to import from the dropdown and click Next
  6. πŸ‘ Importing from Connections
  7. Now select a Connection (e.g. Airtable1) and click Next πŸ‘ Selecting a Connection
  8. Select a Table (e.g. SampleTable_1) or use a Custom Query and click Connect to continue πŸ‘ Selecting a Table
  9. If needed, modify columns, click Create Report, and add the data source to the report.
  10. πŸ‘ Configuring column definitions
  11. Select a visualization style and add it to the report.
  12. Select Dimensions and Measures to customize your visualization.
  13. πŸ‘ Visualizing Airtable data in Looker Studio

Live Access to Airtable Data from Cloud Applications

Now you have a direct, cloud-to-cloud connection to live Airtable data from your Looker Studio workbook. You can create more data sources and new visualizations, build reports, and more β€” all without replicating Airtable data.

Try CData Connect AI and get real-time data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications.