Very thorough answer on the DW and Data Lake points. On the Lakehouse, though, as I wrote above, it’s not just the data storage format (Delta, Iceberg, whatever). The storage is important, because it creates the possibility of using cloud storage as a basis for table-like structures, with ACID (or a subset of it) capabilities. Beyond that, you still need management, performance, security, SQL access and probably some more that I forget.

The goal for a Lakehouse is to create a platform/stack that can effectively do everything a DW does, everything a Data Lake does (so, all your pros above), get rid of most of the cons and also allow mixing and matching of the functionalities. Acknowledging this need to handle all kinds of data is not new; having the technology to deliver on it is, and that’s what the Lakehouse is.