089: Snowfakery Data Generation with Paul Prescod

Paul Prescod is a performance engineer at Salesforce.org. He is also involved with a project called Snowfakery. This program is capable of creating complicated and unique data records for testing.   In this episode, Paul and I are talking about everything Snowfakery. We also get into some of his background, including his work with a company that created mobile games which motivated behavioral change. Listen in to hear about all this and more.   Show Highlights:   How Paul got into his role at Salesforce.org. His impetus for building Snowfakery. How complex data models are and why. Where the name Snowfakery came from. How Snowfakery works. How much the program scales. The outputs Snowfakery is capable of. The benefits of Python. How the developer community is involved with the creation of Snowfakery.   Links: Paul on Twitter: https://twitter.com/prescod Paul on LinkedIn: https://www.linkedin.com/in/paulprescod/ Paul on Github: https://github.com/prescod CumulusCI Trailblazer Group: https://trailblazers.salesforce.com/_ui/core/chatter/groups/GroupProfilePage? Snowfakery Github Repo: https://github.com/SFDO-Tooling/Snowfakery/ Snowfakery Docs: https://snowfakery.readthedocs.io/en/stable/ Paul's blog post on Snowfakery: https://medium.com/salesforce-architects/generate-realistic-datasets-with-snowfakery-5349225b033d