How do you migrate 200,000+ mainframe datasets to the cloud when transferring them one at a time would take months? VirtualZ Computing CTO Vince Re explains how the PropelZ multiplexer turns massive mainframe data migrations from an operational nightmare into an automated, parallel process — moving hundreds of datasets at once instead of queuing them individually.

Vince Re walks through inventory-driven migration: PropelZ takes a full inventory of the datasets to move, then runs them in parallel, cutting projects that would take months down to weeks. He explains why enterprises choose intelligent queue management over one-at-a-time transfers for virtual tape library migrations, application modernization, and large-scale cloud moves.

In this episode of Skyward Data, the podcast from VirtualZ Computing:

- Real performance: 100–200 parallel transfers processing thousands of datasets per hour

- Comprehensive status tracking that turns black-box migrations into transparent, monitored processes

- Integration with existing automation and help-desk systems

- Uses beyond migration: compliance archiving, disaster recovery, and data center consolidation

- Why parallel, inventory-driven processing scales where individual file transfers don't

The multiplexer is built into PropelZ, VirtualZ's no-code tool for moving and replicating IBM Z mainframe data to the cloud — proven at 56,000 records per second, mainframe to cloud — with no code and no homegrown pipelines. PropelZ is part of VirtualZ Computing's no-code portfolio for enterprise mainframe data, alongside Lozen (live in-place data access), FlowZ (cloud storage for backup and archive), and Zaac (cloud and SAN as native z/OS storage).

Topics: mainframe data migration, IBM Z, z/OS, virtual tape library, VTL migration, parallel data transfer, application modernization, disaster recovery, no-code data integration, hybrid cloud.

Listen to more Skyward Data episodes: https://virtualzcomputing.com/podcasts/