BigQuery Tip: The UNNEST Function
Blog post from Firebase
Firebase Analytics exports data to BigQuery in nested and repeated structures rather than simple flat tables, with user properties stored as arrays of structs and event records containing arrays of parameters. Although this format can initially make direct field filtering difficult, it avoids requiring joins across separate tables. Using BigQuery Standard SQL and the UNNEST function, analysts can expand arrays into individual rows for querying, filtering, and aggregation while retaining related event or user data when needed. Examples show how to find events by name, filter events by parameter values such as scores, group users by a language property, and combine event-parameter and user-property conditions in a single query.
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