Building a product analytics solution with ClickHouse

- Designing an efficient schema is crucial for handling large volumes of data in product analytics. - Materialized views can be used to pre-compute complex queries and improve query performance. - Integrating external datasets like billing or Google Analytics data can provide a more comprehensive view of user behavior. - Building your own product analytics stack offers flexibility and control, but requires expertise in database management, data modeling, and SQL.