ETL for IBM Z is evolving — and fast.
About this episode
Jeanne Glass discusses the evolution of ETL for IBM Z systems and the impact of AI and cloud technologies on data integration strategies.
In this episode of the VirtualZ Skyward Data Podcast, Jeanne Glass, Founder and CEO of VirtualZ Computing, explores how traditional batch-based ETL is giving way to real-time, cloud-ready, AI-enabled data integration strategies. As enterprises accelerate AI adoption and hybrid cloud modernization, operational data locked inside IBM Z systems has become both the biggest constraint and the greatest opportunity. Jeanne breaks down the major trends reshaping ETL and ELT — including real-time integration, no-code platforms, cloud-based transformation, AI-driven data processing, and data virtualization — along with the practical challenges organizations face around security, governance, cost management, and skills gaps. She also explains how modern approaches, including VirtualZ’s PropelZ platform, simplify mainframe data integration without custom coding, fragile pipelines, or disruptive migration. If you’re responsible for enterprise data strategy, modernization, or AI enablement, this episode outlines what the future of ETL really looks like — and how to unlock IBM Z data safely, incrementally, and at scale.
People in this episode
Guest: Jeanne Glass
Topics covered
- ETL
- data integration
- AI adoption
- cloud modernization
- real-time processing
- data virtualization
Mentioned in this episode
Organizations: VirtualZ Computing
Products: PropelZ
Places: IBM Z
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