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Salesforce Developers Podcast

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:

  1. Paul on Twitter: https://twitter.com/prescod
  2. Paul on LinkedIn: https://www.linkedin.com/in/paulprescod/
  3. Paul on Github: https://github.com/prescod
  4. CumulusCI Trailblazer Group: https://trailblazers.salesforce.com/_ui/core/chatter/groups/GroupProfilePage?
  5. Snowfakery Github Repo: https://github.com/SFDO-Tooling/Snowfakery/
  6. Snowfakery Docs: https://snowfakery.readthedocs.io/en/stable/
  7. Paul's blog post on Snowfakery: https://medium.com/salesforce-architects/generate-realistic-datasets-with-snowfakery-5349225b033d

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