When moving data from traditional on-premises systems to public clouds, what to do with the data is the primary focus. Many enterprises simply replicate their current data technology, governance, and security in their cloud provider, not really thinking about improving how data is stored and used, just re-platforming it.
There are many old and new approaches to storing and using data. From the older to the newer we have data warehouses, data lakes, data lakehouses, and data mesh, as well as hybrid approaches that leverage some or all approaches. These are good concepts to understand but have perhaps confused those who are just looking for pragmatic ways to move their existing data to the cloud.