The Data Stack Show
183: Why Modern Data Quality Must Move Beyond Traditional Data Management Practices with Chad Sanderson of Gable.ai
Mar 27, 2024
Data expert Chad Sanderson discusses modern data quality and management practices on this podcast. Topics include challenges with the modern data stack, rethinking data catalogs, AI impact on data, incentivizing engineers for data quality, and the role of AI in data semantics. The conversation also touches on data as a product, quantifying the cost of data changes, and the importance of slowing down to go faster in data management.
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Quick takeaways
- Maintaining data quality at the source ensures downstream reliability, emphasizing collaboration among data stakeholders.
- Implementing modern data stacks provides initial value but requires effort for long-term maintenance.
Deep dives
The Need for Data Quality in Data Infrastructure
In the podcast episode, Chad Sanderson discusses the importance of data quality in ensuring the reliability of data infrastructure. He highlights the significance of understanding the supply chain around data and the challenges that arise from organizational issues and the interconnectedness of different engineering teams. Sanderson emphasizes the importance of maintaining data quality at the source to ensure downstream data reliability.
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