Hi all,

I'm exploring Liquid Clustering (LC) and its effectiveness based on the size of the tables.
Specifically, I’m interested in understanding how LC behaves with small, medium, and large tables and the best practices for each, along with size ranges for each category.

Any recommendations or best practices for applying LC across different table sizes would be appreciated!
Looking forward to hearing about your experiences and insights on whether LC should be adopted at various data scales and what the tangible benefits are.

Thanks in advance for sharing your knowledge!