Thank you for your feedback and for raising these points!
The 80 GB example was just a simplified scenario to illustrate the process using Azure PaaS services. The approach is not limited to that size and can be adapted for larger datasets or different environments, including on-premises or hybrid setups.
For terabyte-scale migrations with resource constraints, key optimizations include:
Parallel processing and chunking to handle large number of LOBs efficiently
Streaming techniques to reduce dependency on local resources
Network throughput tuning for faster transfers
Using a VM alongside PaaS is one option, but similar strategies can be applied without introducing IaaS if governance policies prefer avoiding it. The goal is flexibility—these methods work across infrastructures, not just Azure PaaS.