Db2 data masking on z/OS is more than just copy procedures. It is about the controlled, consistent, and business-ready provisioning of sensitive test data without unnecessary JCL effort. Anyone working in a Db2 mainframe environment knows the situation: in many companies, test data is still provisioned using UNLOAD/LOAD processes, DSN1COPY, utility
The rapid evolution of software development and testing will continue in 2025. And there will continue to be existing and new challenges for software developers to overcome. What are the top 7 challenges in test data procurement and how does UBS Hainer’s XDM address them?
In our interview we explore the fundamental challenge of sourcing high-quality test data on a daily basis. The good news upfront: there is an elegant solution that allows testers to focus entirely on testing, with the necessary data being generated automatically as needed.
Maintaining an ongoing dialog with users is critical to software development. A particularly successful format is the annual Test Data Days, which brings together users, prospects, and developers. This event fosters direct exchange and provides valuable insights for all involved.
As companies strive to release software faster while ensuring stability and scalability, the need for precise, relevant test data has become crucial. UBS Hainer’s XDM with its Test Data Finder feature addresses this challenge. The tool is designed to support development and testing teams by efficiently providing test case-relevant data.
Data masking is a crucial process in software testing, particularly in the procurement of test data (TDM). It involves altering data to protect sensitive information while maintaining the data’s usability for testing purposes. Here is a look at how effective data masking can improve software testing.
To optimize the user interface (UI) for XDM, UBS Hainer recently conducted a comprehensive usability survey with several of its customers. The interviews provided valuable insights into user experiences and identified potential areas for improvement.
