IDUG EMEA 2026

In the modern era of data-driven decision-making, leveraging the power of mainframe data, such as Db2 on z/OS, can provide deep insights into business operations. However, visualizing this data and utilizing advanced analytics can often seem challenging. This session will explore how Python libraries, along with machine learning tools, can bridge the gap by providing intuitive and powerful solutions to visualize and analyze Db2 data on z/OS.
We will begin by discussing the fundamentals of accessing Db2 data on z/OS using Python library ibm_db. Once data is ready we will explore popular python libraries to create clear and informative visualizations.
The session will then dive into the integration of machine learning tools, to uncover hidden patterns in the data, perform predictive analytics, and gain deeper insights.