Please refer to the Google Data Studio documentation for all the available semantic types.Ĭongratulations, you're ready to create reports! □ If you're using semantic types, you can define them in your YML files as follows: You should see the data model when you select the dataset. Once you connect to your metriql deployment, Google Data Studio connectors lists all the dataset available to the user as follows: If you don't have a password, you can skip the password input. If you're using metriql locally, you can use a tunneling service to expose your local port to the internet and use the public URL in Google Data Studio. Please add the /api/v0 suffix to your metriql URL. You need to deploy metriql to a public environment and use the URL in Google Data Studio as follows: Step 1: # Connect your metriql on Google Data Studio Step 2: # In order to run queries efficiently, the connector uses segmentation feature so you need to deploy Metriql to your environment. The metriql connector needs you to login through Google OAuth and enter your metriql URL and credentials to access your data. Metriql has a community connector for Google Data Studio that converts Google Data Studio queries into metriql queries (segmentation) which are run directly on your data warehouse and let you visualize the data in Google Data Studio.
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