Test Data 101: An Entirely New Approach to Creating Quality, Safe Data for Testing and Development

Useful, realistic, safe—this is the holy grail of modern test data. But what does it take to generate quality data that checks off each of those boxes?

In other words, what does it take to get your developers the data they need?

To coincide with the launch of our ebook Test Data 101, we’re deep diving all things test data generation, from anonymization to synthesis to what is fast becoming the gold standard for testing and development—data mimicking.

Join our CTO and co-founder Andrew Colombi for a live conversation and Q&A, as he explores the tools and integrations you need to create high quality, compliant data without draining engineering resources.

We’ll cover:

• 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
  

Be sure to download the companion ebook Test Data 101 for the fullest experience.