Modern analytics puts new demands on the processes that move and prepare IBM Z data. This paper examines the evolution of ETL and ELT, covering batch latency, proprietary data formats, pipeline maintenance, data quality, and the skills needed to connect mainframes with cloud platforms.
Explore approaches including no-code integration, cloud-based transformation, data virtualization, and AI-assisted automation. The paper also discusses PropelZ’s role in simplifying mainframe data integration, helping teams assess their modernization options alongside requirements for scalability, cost control, security, and governance.
