Learn everything you need to know about data de-identification and synthesis to get your developers the test data they need.
Useful, realistic, safe—this is the holy grail of modern test data. But what does it take to generate quality data that checks off all of those boxes? In other words, what does it take to get your developers the data they need?
In this ebook, we deep dive all things test data generation, from anonymization to synthesis to what is fast becoming the gold standard for testing and development—data mimicking.
You'll gain insight into:
5 traditional approaches to generating test data
Anonymization techniques, from weak to strong
Data synthesis and differential privacy
And how data mimicking combines the best of the above
This isn't science fiction. It's a new era of algorithmic make-believe. Ready, Developer One?