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Data subsetting extracts a smaller, referentially intact subset of production data for testing. Learn how it works, the main methods, a worked example and how to choose a tool.

PeopleSoft holds some of the most sensitive data an organization keeps: Social Security numbers, salaries, home addresses, and health records for employees or citizens. In production, that data sits behind tight controls. In dev, test, and UAT, it often doesn't. Data...

Many teams copy production data into non-production environments to move fast, and that is exactly where sensitive data can end up exposed. This guide explains how K2view approaches data masking, why its entity-based model matters, and what to weigh before you decide...

Enterprises are generating more data than they can see. You can't govern, secure, or use data you can't find. That is the gap data discovery tools exist to close, and this guide walks through what they do, the features that separate them, the leading options, and how...

Data masking and tokenization both protect sensitive data by replacing it with something safer to handle. They solve different problems, though, and choosing the wrong one adds cost or leaves a gap. This post defines each clearly, sets them side by side on the...

Enhancements to data ingestion made evident the amount of data lost when generating insights.  However, without guidance from methodologies like The DataOps Manifesto, some companies are still struggling to blend data pipelines from legacy databases, such as an ADABAS...

  Testing is an integral and vital part of creating software. In fact, test code is as important as your production code. When you create test code, you need to create test data for your code to work against. This post is about the different types of test...

Businesses today have an ever-growing list of privacy restrictions to deal with when collecting and managing data.  One of the most notorious pieces of privacy legislation is the EU’s General Data Protection Regulation (GDPR), which became the law of the land in 2018...

The importance of test data management (TDM) is ever-increasing if you want to avoid data compliance risks and subsequent fines.  The combination of enormous fines, such as the one British Airways faced after their data breach, and the overall growing number of data...

For years, CA Test Data Manager was one of the default answers in the test data management category. That context changed when Broadcom acquired CA Technologies in 2018, a deal Broadcom valued at roughly $18.9 billion in equity and one that CA's own legal counsel...

Over the past few years, automation has become increasingly prevalent as people rely less on manual work. This trend towards digitalization can be seen in the rise of internet banking and online shopping portals, where people can complete tasks like deposits and...