Turn Data into Db2 Insights with Python Notebooks
Project and Program:
Service Delivery,
Performance and Capacity Management
Tags:
Proceedings,
2026,
SHARE Pittsburgh 2026
Extracting insights from vast mainframe data can be complex. Python and Jupyter Notebooks simplify analysis of SMF records and Db2 performance data like buffer pools, system stats, and logging. Using sources such as SYSVIEW for Db2 IQL, we'll demonstrate how to explore, visualize, and correlate data to uncover trends, detect anomalies, and optimize performance before issues impact critical workloads.
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