What are the benefits and challenges of using synthetic data for testing?
Data masking and subsetting techniques for testing
Data is a valuable asset for any organization, but it also poses risks and challenges when it comes to testing software applications. How can you ensure that your testing data is realistic, secure, and compliant with regulations? In this article, we will explore two common techniques for creating and managing testing data: data masking and data subsetting. We will also discuss the benefits and drawbacks of using synthetic data, which is artificially generated data that mimics real data.