The text discusses the topic of data deduplication in ClickHouse, a columnar database management system known for its speed and efficiency. It highlights that while there is no built-in solution for ensuring uniqueness of rows in ClickHouse, multiple approaches can be combined to tackle this issue effectively. The author suggests using ReplacingMergeTree engine along with creating a secondary table for handling deduplication of newer data. They also provide an example of how to create a view that combines short and long-term data, making SELECT queries simpler. Finally, the text mentions some speed tests to demonstrate the effectiveness of this solution.