Using BigQuery and Firebase Analytics to understand your mobile app

In September 2016, Google introduced Firebase Analytics as part of a new suite of tools to assist developers in building mobile apps, capturing data on user interactions within iOS and Android applications. This data, accessible via the Firebase console, can be exported to Google BigQuery for detailed analysis, enabling developers to aggregate data from both platforms and analyze custom parameters. The export process involves linking a Firebase project to BigQuery, resulting in separate datasets for each app version, with tables populated daily. These datasets contain user activity, demographic data, and any custom app events. Developers can utilize SQL queries in BigQuery to extract insights, such as user demographics, language preferences, and event frequencies. The integration with Google Data Studio allows for the visualization of these insights through various chart types, facilitating the comparison of user interactions across different platforms and device types. This setup provides a robust framework for developers to better understand their app's performance and user engagement by leveraging the combined capabilities of Firebase Analytics and BigQuery.

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