<ul><li>Wildcard tables in BigQuery allow querying multiple tables with a common schema and naming convention using a concise SQL statement.</li><li>Schema requirements for wildcard tables include having matching or compatible schemas across all tables.</li><li>Using a wildcard expression simplifies queries and improves query manageability for datasets partitioned by time.</li><li>_TABLE_SUFFIX in BigQuery helps filter and differentiate between tables dynamically when using wildcard tables.</li><li>Including _TABLE_SUFFIX in SELECT statements allows identifying the source table for each row in the query results.</li><li>Wildcard tables do not support external tables, views, cached results, or DML statements like INSERT, UPDATE, DELETE, MERGE.</li><li>Utilizing longer prefixes when querying wildcard tables enhances performance by reducing the number of tables scanned.</li><li>Wildcard tables combined with _TABLE_SUFFIX provide a powerful and efficient method for analyzing partitioned datasets and time-based data in BigQuery.</li></ul>

Efficiently Querying Multiple Tables with Wildcard Tables in BigQuery

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