86: Solving the Data Quality Problem with Bigeye, Great Expectations, Metaplane, and Lightup.ai

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.