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Discover performance, chaos, and stress testing in 2025. Learn strategies, tools, and best practices to build resilient systems.

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.

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.

What is Article 32 of the GDPR and what role does data masking play in ensuring compliance.

How to integrate data masking into a CI/CD pipeline using Azure DevOps as an example

Data masking is an effective business tool used by large companies around the world to save time and money while improving their strategies.