5 min read
In today's data-driven world, protecting sensitive information is more important than ever.
Sara Codarlupo
5 min read
In today’s data-driven world, managing and utilizing test data effectively is a significant challenge for businesses, especially when using real data for development and testing.
Sara Codarlupo
4 min read
In today's digital age, protecting personal data has become a top priority for organizations. With the implementation of the General Data Protection Regulation (GDPR) by the European Union, companies must ensure that users' personal data is handled with the utmost security and compliance.
Sara Codarlupo
10 min read
In software development, test data is crucial for performing quality checks in controlled environments without risking user privacy or compromising data security.
Sara Codarlupo
4 min read
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.
Sara Codarlupo
5 min read
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.
Juan Rodríguez
4 min read
Protecting sensitive data is a priority for any business handling confidential information, but it's not always easy.
Juan Rodríguez
3 min read
Data security remains one of the most critical challenges for companies, especially when protecting sensitive information in development and testing environments.
Juan Rodríguez
4 min read
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.
Juan Rodríguez
3 min read
Protecting sensitive data is essential in software development, especially when dealing with large volumes of personal data
Juan Rodríguez
4 min read
Which is Article 32 of GDPR and which is data masking role
Juan Rodríguez
6 min read
How to integrate data masking into a CI/CD pipeline using Azure DevOps as an example
Rodrigo de Oliveira
3 min read
Data masking is an effective business tool used by large companies around the world to save time and money while improving their strategies.
Rodrigo de Oliveira
2 min read
Continuous testing is one of the various techniques related to the DevOps movement that deals with the execution of automated tests for new software developments in each of the stages of the software lifecycle to ensure software quality
Juan Rodríguez
3 min read
Data masking is a strategy used to protect sensitive data in a dataset by transforming them into different data that maintain the coherence and consistency of the original set
Juan Rodríguez
3 min read
How many times have we found out that the data we are working with, either in testing or development, belong to real customers or users?
Juan Rodríguez
