Learn about the different part types (Wide vs Compact) and storage formats (Full vs Packed) in ClickHouse, and how they affect performance.

Discusses the differences between OPTIMIZE FINAL and FINAL, and when to use and avoid them.

ClickHouse doesn't have a PIVOT clause, but we can get close to this functionality using aggregate function combinators. Let's see how to do this using the UK housing prices dataset.

ClickHouse Keeper improves upon ZooKeeper with features like reduced disk space usage, faster recovery, and less memory consumption, offering better performance for ClickHouse clusters.

TTL rules in ClickHouse are eventually applied, and you can control when they are executed using the `merge_with_ttl_timeout` setting. Learn how to force TTL application and manage background threads for TTL execution.

A columnar database stores the data of each column independently. This allows reading data from disk only for those columns that are used in any given query.