Sign up for a free trial and start working with live Google Analytics data in Metabase today. For more information on creating a virtual MySQL database for Google Analytics (and more than 200 other data sources), visit the Connect Server page. You can continue to work with live Google Analytics data in Metabase just like you would any MySQL database. Navigate to the "Visualization" screen, choose a visualization, and configure the visualizationĪt this point, you have built a simple visualization from Google Analytics data in Metabase.Write a SQL query based on the virtual database, e.g.Use the "Write SQL" tool to retrieve the Google Analytics data.Once you configure the connection to CData Connect, you can query Google Analytics and build visualizations. Click to Use a secure connection (SSL) Query Google Analytics Data with Metabase.Password: The password for the above CData Connect user.Database name: The name of the virtual database you just created (e.g.Port: The port of the MySQL endpoint for your Connect instance (e.g.Metabase installs in just a couple of minutes and can work with a variety of databases, such as MySQL, Amazon Redshift and PostgreSQL. Host: The URL of your Connect instance (e.g. Metabase, an open-source BI tool, offers easy way to generate both charts and dashboards, see in-depth information about rows in your database and ask simple ad hoc queries without having to use SQL.Configure the connection to CData Connect and click "Save".Navigate to the administration screen (Settings -> Admin) and click "Add Database" from the "Databases" tab.Use the MySQL interface to connect to CData Connect. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.Īfter creating the virtual database, navigate to your Metabase instance.Click Test Database to authenticate with Google Analytics. Google Analytics uses OAuth to authenticate. Select "Google Analytics" from Available Data Sources.Log into Connect Server and click Databases.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 Analytics, leveraging server-side processing to quickly return Google Analytics data.Ĭreate a Virtual MySQL Database for Google Analytics DataĬData Connect Server uses a straightforward, point-and-click interface to connect to data sources and generate APIs. To connect to a data source stored in Google Drive (like a Google Sheet) first make sure you’ve completed the steps above, including creating a project in Google Cloud Platform, adding a BigQuery dataset, and creating a service account. This article describes how to create a virtual database for Google Analytics and build a simple visualization using Google Analytics data.ĬData Connect provides a pure SQL interface for Google Analytics, allowing you to easily integrate with live Google Analytics data in Metabase - without replicating the data. Connecting Metabase to Google Drive data sources. When paired with CData Connect Server, users can easily create visualizations and dashboards linked to live Google Analytics data. Metabase is an open source data visualization tool that allows users to create interactive dashboards.
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