EPISODE · May 11, 2022 · 58 MIN
86: Solving the Data Quality Problem with Bigeye, Great Expectations, Metaplane, and Lightup.ai
from The Data Stack Show · host Rudderstack
Highlights from this week’s conversation include:Guest introductions (1:02)Defining data quality (4:08)Forgetting to apply software best practices (8:33)Differentiating observability and data quality (17:53)Who should care about quality in the organization (26:55)Why this is still a valid conversation (35:44)The jurisdiction of various components (45:39)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
In this special episode of The Data Stack Show, Eric and Kostas are joined by the founders of Bigeye, Metaplane, Lightup Data, and Great Expectations. Together they discuss definitions of data terms, creating standards, best practices, and more.
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86: Solving the Data Quality Problem with Bigeye, Great Expectations, Metaplane, and Lightup.ai
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