Articles and news

Learn how GDPR-compliant data masking protects sensitive data, avoids penalties, and meets HIPAA standards. Includes proven techniques and use cases

Test data impacts speed, quality, and test accuracy. Learn what it is, why it matters, and how to use it effectively in modern testing environments.

Both claim to improve resilience—only one fits your system. Find out when to use chaos engineering vs performance testing and why it matters now.

In today's data-driven world, protecting sensitive information is more important than ever.

In software development, test data is crucial for performing quality checks in controlled environments without risking user privacy or compromising data security.

The data landscape is evolving rapidly, and businesses seeking to stay competitive must remain aware of emerging trends. In 2025, data will continue to be at the heart of business strategies, with a renewed focus on innovative technologies, accessibility, and privacy.

Test data quality is a fundamental aspect of the software development lifecycle. While development and QA teams focus heavily on code and automated testing, the quality of the data used in tests is often the determining factor in a test's success or failure.

Protecting sensitive data is a priority for any business handling confidential information, but it's not always easy.

Data security remains one of the most critical challenges for companies, especially when protecting sensitive information in development and testing environments.

As a DBA (Database Administrator), one of your main responsibilities is to ensure that sensitive data is properly protected while maintaining the efficiency and accessibility of databases.