This article discusses four methods to track update times for Google BigQuery tables and views, ensuring data freshness and timely updates. These methods include using the MAX function on a timestamp column, checking metadata's last modified time, leveraging Information Schema's last change time, and utilizing partitioning and clustering features. Each method has its specific use cases and limitations, making it essential to understand these nuances and select the most appropriate one based on individual needs.