
089: Snowfakery Data Generation with Paul Prescod
angelina
Description
<p><span style="font-weight: 400;">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.</span></p> <p> </p> <p><span style="font-weight: 400;">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.</span></p> <p> </p> <p><strong>Show Highlights:</strong></p> <p> </p> <ul> <li style="font-weight: 400;" aria-level="1"><span style= "font-weight: 400;">How Paul got into his role at Salesforce.org.</span></li> <li style="font-weight: 400;" aria-level="1"><span style= "font-weight: 400;">His impetus for building Snowfakery.</span></li> <li style="font-weight: 400;" aria-level="1"><span style= "font-weight: 400;">How complex data models are and why.</span></li> <li style="font-weight: 400;" aria-level="1"><span style= "font-weight: 400;">Where the name Snowfakery came from.</span></li> <li style="font-weight: 400;" aria-level="1"><span style= "font-weight: 400;">How Snowfakery works.</span></li> <li style="font-weight: 400;" aria-level="1"><span style= "font-weight: 400;">How much the program scales.</span></li> <li style="font-weight: 400;" aria-level="1"><span style= "font-weight: 400;">The outputs Snowfakery is capable of.</span></li> <li style="font-weight: 400;" aria-level="1"><span style= "font-weight: 400;">The benefits of Python.</span></li> <li style="font-weight: 400;" aria-level="1"><span style= "font-weight: 400;">How the developer community is involved with the creation of Snowfakery.</span></li> </ul> <p> </p> <p><strong>Links:</strong></p> <ol> <li style="font-weight: 400;" aria-level="1"><strong>Paul on Twitter:</strong> <a href= "https://twitter.com/prescod"><span style="font-weight: 400;">https://twitter.com/prescod</span></a></li> <li style="font-weight: 400;" aria-level