Redgate Test Data Manager’s October release focuses on improving core security features with AI, and stability refinements based on your feedback. These updates strengthen core functionality, making sensitive data classification more comprehensive, and the product even simpler to use. AI-Powered Data Classification – intelligent sensitive data detection Automatically identify sensitive data with machine learning... Read more
Redgate Test Data Manager’s September release introduces AI dataset generation, streamlined database connectivity, and improved validation. These updates eliminate manual work and configuration errors while maintaining security and data quality standards. AI Custom Datasets – removing manual dataset creation Although we have datasets built in, you might need something more specialized. Now you can... Read more
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
James Hemson