In my findings I have found a lot of delta tables in the lake house to be sparse so just wondering what space data lake takes to store null data and also any suggestions to handle sparse data tables in lake house would be appreciated.

I also want to optimize this sparse data at processing layer as well. We use databricks for our ETL operations. So, Can you also let me know how nulls are stored in databricks as well?

Thanks in advance!