100: Data Quality Is Relative to Purpose with James Campbell of Superconductive
This week on The Data Stack Show, Eric and Kostas celebrate their 100th episode with a chat with James Campbell, the co-founder and CTO of Superconductive. During the episode, James discusses data quality: the problems, a solution, and much more in between. From his perspective, let’s learn how different expectations can coincide.
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Show Notes
Highlights from this week’s conversation include:
- James’ role at Great Expectations (2:33)
- What Great Expectations does (5:49)
- How Great Expectations approaches data quality (7:01)
- Why a data engineer should use Great Expectations (16:41)
- Defining “data quality” (19:16)
- Translating expectations from one domain to the other (27:00)
- Community around Great Expectations (30:59)
- The user experience (33:41)
- Something exciting on the horizon (40:27)
- Interacting with marketers in a non-technical way (43:57)
The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.
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