I’m joined by Mark Grover, one of the founders of Stemma, a data catalogue for building decentralized data informed cultures. In essence it is a “Google Search” built for data scientists, data analyst, business leaders, and more. Stemma is striving to solve data documentation and relevance issues by keeping data cataloguing up to date and current.

In this episode Mark covers his transition from the data team at Lyft to establishing Stemma. He discusses how he identified the need for a source of truth for ETA data, and how the data scientist in these teams should be the end all for this knowledge. Starting with building Amundsen, Stemma expands on the groundwork laid there to bring data to the user and open-source community’s needs.

Highlights:

An introduction to Mark and Stemma (00:00)
The history of Stemma (00:45)
How open source helped solved data cataloguing problems (4:40)
The decision to found Stemma (07:40)
How Stemma’s relationship with Amundsen has evolved (13:20)
The unexpected challenges and unexpected eases (18:35)
Navigating the co-founding experience (23:35)
Mark’s vision for Stemma’s future (28:54)
Mark’s tips for aspiring founders (32:54)

Links:

Mark

The Google Search for Data with Mark Grover