Thanks for registering for our upcoming webinar.
Keep an eye on your inbox for the confirmation email with your unique join link.
Build reliable AI agents with the dbt MCP server
In this session, we’ll share how Indicium is using large language models, knowledge graphs, and the dbt MCP server to build a migration agent that cuts legacy-to-dbt timelines by up to 90%.
Delivering reliable AI with the dbt Semantic Layer and dbt MCP Server
In this virtual event, experts from dbt Labs and phData will walk through how the dbt Semantic Layer and dbt MCP Server combine to deliver the reliable context AI systems require.
Smarter pipelines, 29%+ warehouse savings
How the dbt Fusion engine drives more cost-effective data ops by running only what’s changed, optimizing test execution, and using advanced configurations to eliminate unnecessary model runs — cutting wasted compute without compromising freshness or reliability.
Keep up with the latest in analytics engineering
The Analytics Engineering Podcast delivers practical stories, strategies, and expert perspectives to keep you ahead in a fast-moving data landscape.
We’ve established a solid foundation, thanks to the expertise we got from the get-go. It’s clear to me how dbt fills the gaps that I’ve seen in data engineering my entire career.
Nick Leonard Director of Data Engineering at J. Crew
Our evergreen platform, built on dbt and Databricks, lets our teams around the world work from the same data sets. That translates to higher productivity and greater trust in our data as we work to become a global enterprise.
Nana Essuman Senior Director of Data Engineering & Data Warehouse at Condé Nast
We see dbt Canvas as a way to unlock the full potential of our analysts,giving them the ability to shape data models directly, while staying connected to the same high standards our engineers rely on. It’s a vision of faster, smarter insights, built together.
William Tsu Senior Analytics Engineer at Whoop
Great data work never happens alone.
The dbt Community connects you with thousands of data practitioners, leaders, and learners—all solving real problems, sharing best practices, and growing their careers together.