183: Why Modern Data Quality Must Move Beyond Traditional Data Management Practices with Chad Sanderson of Gable.ai

Highlights from this week’s conversation include:

• Chad’s background and journey in data (0:46)
• Importance of Data Supply Chain (2:19)
• Challenges with Modern Data Stack (3:28)
• Comparing Data Supply Chain to Real-world Supply Chains (4:49)
• Overview of Gable.ai (8:05)
• Rethinking Data Catalogs (11:42)
• New Ideas for Managing Data (15:16)
• Data Discovery and Governance Challenges (18:51)
• Static Code Analysis and AI Impact on Data (24:55)
• Creating Contracts and Defining Data Lineage (27:31)
• Data Quality Issues and Upstream Problems (32:32)
• Challenges with Third-Party Vendors and External Data (34:29)
• Incentivizing Engineers for Data Quality (40:28)
• Feedback Loops and Actionability in Data Catalogs (45:30)
• Missing metadata (48:57)
• Role of AI in data semantics (50:27)
• Data as a product (54:26)
• Slowing down to go faster (57:38)
• Quantifying the cost of data changes (1:01:24)

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.