Fake it 'til you make it - generating production quality test data at scale.

In today's age of digital products and services, it's imperative that adequate measures are in place to handle personally identifiable information. One such challenge that organizations face is providing their product and engineering teams with realistic synthetic data to design, develop, and test solutions using production-quality data at a production-scale.

Barry, in this informative presentation, offers solutions to tackle this challenge by discussing open-source tools and open data sources that can be leveraged to generate production-quality test data at scale. He then goes on to demonstrate how this can be done by generating thousands of synthetic customers using these tools.

In addition to offering a solution to the challenge, this approach provides a means to build better products, test products, and embed data quality and best practice information security practices in your engineering process, which all contribute to developing a more robust and secure product.

Overall, this is an excellent presentation for anyone looking to build more secure and robust digital products and services needed to handle personal, identifiable information.

Link to the presentation: https://endjin.com/what-we-think/talks/fake-it-til-you-make-it-generating-production-quality-test-data-at-scale.html