The Analytics Engineering Podcast
The evolution of databases (w/ Wolfram Schulte)
Apr 27, 2025
Dive into the evolution of databases with insights from a tech leader who transitioned from physics to compilers. Discover the collaboration between data engineering entities and the challenges of scaling technology. Explore the complexities within Facebook's data landscape, including the impact of privacy issues. Learn about various database engines, their features, and future trends, emphasizing the importance of proactive data management for enhanced user experiences.
54:17
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Quick takeaways
- The strategic integration of DBT and SDF aims to enhance data engineering practices by leveraging principles from software engineering, like abstraction and version control.
- Wolfram Schulte's unique journey showcases how diverse experiences from academia to industry have shaped his expertise in optimizing database systems and performance.
Deep dives
The Synergy of DBT and SDF
Combining DBT and SDF is seen as a strategic move to enhance the capabilities of data engineering practices. DBT has succeeded in adopting software engineering principles within data engineering, such as abstraction and version control, establishing a strong community and user base. SDF's strength lies in its foundational technology for SQL understanding and workload scheduling, which complements DBT's existing capabilities at scale. The integration aims to leverage the best practices and resources from both organizations to accelerate innovation and address the complexities of managing large data systems.
