> The one and a half downsides not mentioned here: Make that 2.5. If you are building new analytic products the most significant issue is that 90% of the infor

> The one and a half downsides not mentioned here: Make that 2.5. If you are building new analytic products the most significant issue is that 90% of the information in data lakes is already there and not in an open format like Iceberg. Instead, it's heaps of CSV and Parquet files, maybe in Hive format but maybe just named in some unique way. If your query engine can't read these it's like being all dressed up with no place to go.