Introduction As data grows over time, storing every row forever becomes increasingly expensive and often unnecessary. Application logs, IoT events, monitoring metrics, audit records, and clickstream data typically have different retention requirements depending on their age. ClickHouse® provide...
Source: [Dev.to](https://dev.to/kanishga_subramani_49ad73/day-28-of-100-days-of-clickhouser-understanding-ttl-time-to-live-for-automated-data-lifecycle-249d)