Listen "PropelZ on Windows: No-Code Data Integration Across Platforms"
Episode Synopsis
In this episode of the Skyward Data podcast, VirtualZ Computing Co-Founder Dustin Froyum sits down with Co-Founder and CTO Vince Re to explore how PropelZ™ runs on Windows to simplify enterprise data integration.
The conversation focuses on one of the biggest challenges facing modern data teams: integrating data across mainframe, cloud, Linux, Windows, and legacy platforms without building complex, brittle ETL pipelines. Dustin and Vince break down how PropelZ uses a no-code, configuration-driven approach to move and transform data quickly, securely, and efficiently.
You’ll hear a practical overview of PropelZ’s three-stage architecture—input, transformation (including incremental processing), and output—and how it behaves consistently across platforms while adapting to Windows-specific requirements like byte-stream files, record boundaries, and encoding differences. The episode also covers output options including JDBC databases and API-based integrations such as Splunk.
In this episode, we discuss:
The challenge of unified data integration across platforms
How PropelZ eliminates custom ETL and scripting
Running PropelZ on Windows vs. z/OS: what’s different and what stays the same
Handling binary files, delimiters, record lengths, and code pages
Flexible output targets, including databases and observability platforms
Whether you’re modernizing legacy data flows, enabling analytics and AI, or simplifying cross-platform integration, this episode provides a clear, technical perspective on how PropelZ helps organizations move data without complexity.
Learn more at virtualzcomputing.com or reach out at [email protected].
The conversation focuses on one of the biggest challenges facing modern data teams: integrating data across mainframe, cloud, Linux, Windows, and legacy platforms without building complex, brittle ETL pipelines. Dustin and Vince break down how PropelZ uses a no-code, configuration-driven approach to move and transform data quickly, securely, and efficiently.
You’ll hear a practical overview of PropelZ’s three-stage architecture—input, transformation (including incremental processing), and output—and how it behaves consistently across platforms while adapting to Windows-specific requirements like byte-stream files, record boundaries, and encoding differences. The episode also covers output options including JDBC databases and API-based integrations such as Splunk.
In this episode, we discuss:
The challenge of unified data integration across platforms
How PropelZ eliminates custom ETL and scripting
Running PropelZ on Windows vs. z/OS: what’s different and what stays the same
Handling binary files, delimiters, record lengths, and code pages
Flexible output targets, including databases and observability platforms
Whether you’re modernizing legacy data flows, enabling analytics and AI, or simplifying cross-platform integration, this episode provides a clear, technical perspective on how PropelZ helps organizations move data without complexity.
Learn more at virtualzcomputing.com or reach out at [email protected].
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