Fast, efficient programming, reliable software, shorter development cycles are common demands on IT. This, but also agile development methods, require a change in thinking.
Fast, efficient programming, reliable software, shorter development cycles are common demands on IT. This, but also agile development methods, require a change in thinking.
Datenbereitstellung im Db2 für z/OS ist ein zeitintensiver Prozess, der nicht selten mit hohen Kosten in Verbindung gebracht wird. Verlassen diese Daten Produktionsumgebungen und werden beispielsweise für Testzwecke eingesetzt, müssen […]
(5:00 PM - 6:00 PM CET ) Simplify and Speed Up Your Db2 for z/OS Data Copying and Movement A webinar presented by Craig S. Mullins, Mullins Consulting Inc. Just […]
Getreu der Devise “Vom Engpass zum Asset” stellen wir Ihnen Themen aus den Bereichen Test, Entwicklung, Applikationsmanagement, Datenbanken, Datenschutz und Projektmanagement vor und geben Ihnen zusätzlich nützliche Tipps und Tricks […]
Change is the new constant. Managing change requires an agile approach with agile teams and flexible tools, especially when it comes to testing.
Today, testing must be quick, easy, reliable and, above all, highly flexible. Agile teams need agile test data to get the releases into production faster. This enables you to respond to rapidly changing markets.
The TDM Suite offers the highest level of flexibility:
We advise you on setting up the right TDM strategy.
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.
The Masking Tool enables the implementation of anonymization by providing ready-to-use masking algorithms.hese 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.
