Data teams are becoming software engineering teams(1). On December 14th we welcomed Philip Zelitchenko(2), VP of Data from ZoomInfo, to talk about how he has built this discipline within his team. (1) https://tomtunguz.com/data-engineering/ (2) https://linkedin.com/in/philipzelichenko
0:00 Office Hours with Philip Zelitchenko
01:47 Q: How did you decide to structure your team like software engg?
05:07 Q: Determining the value of data 09:17 Structuring data teams: data PMs
10:47 Q: Same data team responsible for internal v. external PRDs?
11:14 Structuring data teams: data engineering 12:02 Q: What is a data product?
12:47 Structuring data teams: data analysts 13:22 Structuring data teams: data governance
13:37 Structuring data teams: data platform
14:18 Q: What distinguishes a DPRD from a PRD?
17:33 Q: Role of the DPRD?
20:05 Q: DPRD v. TEP?
20:55 Demystifying data governance
23:22 Data alert management - internal team and customers
26:20 Q: Motivating ownership of data assets?
28:51 Defining value of a data asset
30:29 Measuring data usage
31:37 Q: Can tools today handle the stochastic nature of data?
33:28 Building a data team within the enterprise
35:42 Q: How to test data products prior to release?
40:00 Q: How do you use observability to manage diversity of alerts?
41:51 Summary