EPISODE · Aug 17, 2022 · 53 MIN
100: Data Quality Is Relative to Purpose with James Campbell of Superconductive
from The Data Stack Show · host Rudderstack
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.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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What this episode covers
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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100: Data Quality Is Relative to Purpose with James Campbell of Superconductive
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