Cost-optimized transformations on open, multi-engine compute with dbt and Apache Iceberg™

🌎 Global friendly sessions on October 7th & 8th

Use Iceberg and flexible compute to run each workload where it fits best — all from one dbt project and DAG.

Still running every model through the same warehouse compute pool, the massive joins and the simple staging tables alike? Most of that work doesn't need full warehouse power and you’re not optimizing cost to value. dbt and Iceberg change that.

In this live webinar, we will show you how to store your data once, in open Iceberg tables, and send each model to the compute that actually fits it, paying warehouse prices only for the work that needs a warehouse. This isn't about replacing your warehouse; it's about freeing it up for the work only it can do, so the rest runs somewhere cheaper. You'll see Fivetran's Managed Data Lake Service and Lake Compute in action, including a live dbt project running a dual-engine project — partial Snowflake, partial Lake Compute — leveraging Iceberg open table formats. You'll leave knowing whether this fits your stack, and exactly how to get started.

Meet the speakers

Eric O'Connor

Product Manager, Distinguished

Fivetran

Casey Karst

Principal Product Manager

Fivetran

Anders Swanson

Senior DX Advocate

dbt Labs