Redgate Test Data Manager’s latest release brings significant performance improvements and new masking capabilities. These updates reduce friction in your workflows, whilst maintaining security and data quality standards. Job execution within the UI – making your work easier Execute subset and anonymization jobs directly from the Redgate Test Data Manager UI. Configure workflows once... Read more
We’re excited to reveal our latest effort towards simplifying and accelerating the test data management process: AI Synthetic Data Generation, part of Redgate Test Data Manager. Officially introduced in a session at the recent PASS Data Community Summit, the capability uses machine learning to rapidly generate realistic yet entirely synthetic data – all while maintaining... Read more
As data grows and databases become larger and more complicated, data subsetting provides a method of working with a smaller, lighter copy of a database to make development and testing faster and easier. But what exactly is it, how and why are developers using it – or not using it, and what’s prompting conversations... Read more