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BCV5 copies Db2 for z/OS table spaces and indexes within the same Db2 subsystem or even between different Db2 subsystems much faster than unloading and reloading the data.”
Fast, efficient programming, reliable software, shorter development cycles are common demands on IT. This, but also agile development methods, require a change in thinking. Test data management should provide testers and developers with exactly the test data they need for the respective development step. An automated, robust process must be created that provides test data on a regular basis. Provisioning must not take longer than the test itself, and test data management must also be worthwhile from an economic perspective.
The domain in the test data store is maintained by one or a few modelers. The modeler knows the entities of the domain and all details like cardinality and the connections to other business units or divisions. He can, if useful or necessary, include the configurations of other divisions, e.g. those of common master data. The modeling and thus the definition of new procurement procedures presuppose usually knowledge, which the developer/tester does not need to have. To burden all purchasers with this would not be efficient. Instead, the majority of users are freed from unnecessary ballast and can concentrate entirely on development and testing.
XDM automates test data management. It provides developers and testers with immediately usable test data, and quality assurance with mass data for performance and acceptance tests. Anonymization of DSGVO-relevant data is possible, as is the generation of synthetic data. Your employees are largely freed from manual work; test data procurement becomes a robust process that ensures on-time delivery. All typically occurring tasks of test data supply are solved automatically.
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BCV4 sets the standard in cloning complex application landscapes. It duplicates Db2 subsystems or Db2 data sharing groups, IMS subsystems or combined systems (Db2/IMS/VSAM) in record time.
The Masking Tool is a component of the BCV5 copy tool for Db2. It enables the implementation of anonymization by providing ready-to-use masking algorithms in the form of Db2 User Defined Functions (UDF). These functions can generate artificial but seemingly real data such as names, addresses, credit card or social security numbers. The generated data is plausible, i.e. credit card numbers are valid and addresses have matching street names, zip codes, cities and countries.