We recently sat down with James Phillips, Senior IT Leader, to talk about test data management (TDM) and the growing attention it’s getting from the senior IT leaders. It’s been prompted by the recognition that provisioning test and development environments with realistic production-like data improves the quality of code being…Read more
Redgate Test Data Manager’s December release brings AI Custom Datasets to general availability, introduces streamlined setup workflows, and delivers quality-of-life improvements that simplify your day-to-day operations. AI Custom Datasets – now generally available Create custom datasets for anonymization in seconds using natural language. Describe what you need, “Spanish first names,” “UK…Read more
Redgate Test Data Manager’s November’s release brings advanced table configuration for large databases and the ability to save connection strings. Two features that make setting up subsets and managing database connections smoother, easier, and faster. Advanced Table Configuration – simplifying subsetting for large databases Configure subsets on databases with thousands…Read more
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…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…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…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…Read more
Redgate Test Data Manager is designed to provide secure, anonymized, and representative copies of production databases. This article focuses on the role of deterministic data masking, transforming PII consistently across tables, even when no logical relationship exists between them, and explains how it works.Read more
If you’re a developer, you may well be familiar with the scenario. You’re writing code and you want to test your changes against a copy of the production database. One that’s representative of the size and distribution characteristics and retains referential integrity so that, when your changes are released, they…Read more
Data, and the way enterprises use data in areas like development and testing, has not traditionally been a focus for business leaders but that’s now changing. Data is more varied and complicated than ever before, for example, with enterprises using two or more different database platforms – and 40% using…Read more