From Insight to Action: Building Scalable Data Products with Dbt

In this webinar, we explore how Dremio and dbt work together to empower data engineers and analysts. With Dremio, you can virtually model your data across Lakehouse tables (Iceberg/Delta), Data Lakes, Databases, and Data Warehouses, leveraging an autonomous data management layer to accelerate queries and simplify governance. dbt brings version-controlled, git-tracked data transformation to Dremio, crafting a powerful semantic layer while enabling data acceleration, documentation synchronization, and collaboration. Join us to see how this combination transforms the way you build scalable data products.

We dive into the synergy between Dremio and dbt, showing how you can:

Virtually model and integrate data from Lakehouse tables (Iceberg/Delta), Data Lakes, Databases, and Data Warehouses
Leverage Dremio’s autonomous data management layer to accelerate queries and optimize performance
Use dbt to craft your Dremio semantic layer, track transformations in git, enable query acceleration, and sync documentation
Bring software engineering best practices to analytics with audibility, collaboration, and version control

Join us to learn how Dremio + dbt help you turn insights into action with a scalable, governed, and high-performance data platform.

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