Modernize Linux Data Pipelines — Faster, Simpler, Smarter.

Linux powers the enterprise, yet moving data across platforms, databases, and clouds still takes too much code, time, and effort. PropelZ™ changes that.

With a lightweight Java runtime, PropelZ runs natively on Linux to move and transform data — no coding, no ETL, no hassle. Connect Linux workloads directly to cloud data lakes, AI platforms, and databases like Snowflake, BigQuery, Redshift, Oracle, and PostgreSQL. Run pipelines where your data lives to cut latency, reduce costs, and simplify governance.

In this session, you’ll see how enterprises use PropelZ for Linux to accelerate analytics and AI projects, streamline modernization efforts, and unify mainframe, Linux, and cloud environments into one governed data flow.

This is a unique opportunity to hear from Vince Re, Co-Founder and Chief Technology Officer at VirtualZ. Vince is a pioneer in enterprise data and security — best known as the original author of CA Top Secret, one of the first mainframe security products. His early contributions to Linux on the mainframe earned him election to the elite kernel.org team. Vince brings decades of experience designing secure, high-performance architectures that connect the world’s most trusted platforms to modern data and AI ecosystems.

What You’ll Learn

• How the Java-based PropelZ runtime operates natively on Linux and across hybrid environments
• When running data pipelines “in place” delivers faster performance and lower cost
• How to build governed, no-code ELT pipelines for analytics and AI workloads
• Real-world examples of cross-platform modernization with PropelZ
• Packaging, deployment, and pricing models for Linux and hybrid estates

Why Attend

You manage Linux or hybrid workloads and need governed, no-code data movement that works across mainframe and cloud. You’re modernizing data pipelines for analytics and AI — and you’re done waiting on scripts, ETL jobs, and custom integration.