Bankdata CPU Saving Using Spark on Enterprise Database
Presenters
Frank Petersen Bankdata & Jane Man - IBM
Abstract
Db2 SMF log records provide great value, but unfortunately the cost of handling and analysis of SMF is too high. It takes long elapsed time and the process is CPU intensive, even with vendor tools. In this session, we share how Bankdata(one of the biggest financial IT companies in Demark) saves CPU, reduces cost, shortens elapsed time, shortens sprint cycles, and improves overall efficiency. We also share how to do machine learning in a SQL statement that you can easily customize for your need. Use cases, hints, and tips are provided to help you to avoid pain points, and improve development efficiency.
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