In this episode, I speak with Matt David about the fascinating world of modern data stacks and why data literacy is quickly becoming a must-have skill for everyone in your organization.
We dive into Matt’s concept of “source hell” and explore the differences between data lakes, data warehouses, and data marts—plus why they should all live harmoniously in your architecture. Matt shares practical tips on building an agile data stack, selecting the right tools, and unlocking the power of collaborative analytics. We also explore the tricky terrain of data quality, observability, and how new technologies like DBT and Fivetran are changing the game. Finally, we reflect on the importance of critical thinking and scientific rigor for everyone, from data engineers to business leaders.
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Why You Should Listen:
If you’re dealing with fragmented data systems, uncertain dashboards, or simply looking to sharpen your team’s analytical thinking, this episode is packed with insights. Matt offers a grounded, real-world perspective drawn from years in data-centric roles. Learn about the innovations in analytics engineering, how to manage data complexity, and why embracing doubt just might be your secret superpower in business.